Abduction

Inferring theory from facts; logically unsafe

Categories: Assessment | Method | Reasoning

[Dictionaries], [Haig 2005] relates this to the scientific method to replace hypothetico-deductive or unsafe inductive theory generation. Not well defined around the match between theory and evidence; that is, it's possible for example to make vague theories that fit the facts which is not helpful (see eg [Feynman 1964]) which is to do with assessing which abducted theory is the {Best Explanation} . [Johnson 1998] suggestes that Abductive Justification depends on (1) how decisively a hypothesis surpassess the others (2) how good it is by itself against the evidence (3) confidence in the evidence and (4) how thorough the search for alternatives was. [Callaway 2014] ties together abduction with model and hypothesis selection {NOT:Induction} {NOT:Deduction}

Best Explanation | NOT:Induction | NOT:Deduction

Dictionaries | Haig 2005 | Feynman 1964 | Johnson 1998 | Callaway 2014


Absorptive Capacity

Amount and complexity of information that can be assimilated

Categories: Time | Assimilation

Determined partly by prior related knowledge and its distribution across, and flow between, subsidiaries, as well as the {Social} similarity between source and target to more closely connect the explanation and assimilation [Cohen & Levinthal 1990] [Lenox & King 2004]. (However, in some cases {Stickiness} can lead to experts being unable to cope with rapidly changing situations that don't fit with the accumulated knowledge) (I think attitude - eg curiousity - and broadly informed might also be good determinants. Presumably also related to {Attention} and {Motivation}) Also determined according to [Bosch,Volberda & Boer 1999] by the {Organisation Structure} related to its ability to transfer knowledge, and its ability to dynamically re-organise {Organization Flexibility} to adapt to bring knowledgable and ignorant closer together. They have three variables: System (eg existing codes & exchagne mechanissm, information systems, etc) coordination (training, liaison & participation) and social. {Distraction} by immediate access - from knowing that remote repositories (eg libraries) exist, to having lots of knowledge almost immediately accessible a click away [Sieloff 1999]. C69+C85 Corresponding characteristic is the amount and complexity of information that can be made explicit by the knowledge sources (the {Disseminative Capacity} ). The two characteristics are related by the closeness of the source and the target, and so the ability to explain and describe in a language and with concepts familiar to both (see eg attempt to simulate by [Mu, Tang & MacLachlan 2009] and [Tang, Mu & MacLachlan 2010] .

Social | Stickiness | Attention | Motivation | Organisation Structure | Organization Flexibility | Distraction | Disseminative Capacity

Cohen & Levinthal 1990 | Lenox & King 2004 | Bosch,Volberda & Boer 1999 | Sieloff 1999 | Mu, Tang & MacLachlan 2009 | Tang, Mu & MacLachlan 2010


Access

How quickly and completely the information can be found

Categories: Time

Acquisition Information Quality represents the extent of accessibility of information. It reflects the characteristics of accessing and retrieving information and measures the extent to which information is available and retrievable. The acquisition dimension includes accessibility measures but also aspects of security and data protection [Ge, Helfert, Jannach 2011] {Response Time} [Nonaka & Takeuchi 1995] suggest that universal access to company information is important so that different interpretations and new knowledge can be freely generated - whcih contrasts with (anecdotal) tendency in the west still for teams to build their own areas and lock them away from everyone else.

Response Time

Ge, Helfert & Jannach 2011 | Nonaka & Takeuchi 1995


Accuracy

Closeness to reality; trueness and precision

Categories: Quality | Trust | Uncertainty

Defined for engineering in eg [ISO 5725-1] and [NIST] as {Trueness} and {Precision}. Information Quality characteristics in [Ge, Helfert, Jannach 2011] and a common term see [Dictionaries] Cannot be known (as we cannot know what reality actually is). Value Validity in [Gaur & Gaur 2006]

Trueness | Precision

ISO & 5725-1 | NIST | Ge, Helfert & Jannach 2011 | Dictionaries | Gaur & Gaur 2006


Acquisition

The assimilation or internalisation of knowledge; in organisations, knowledge may be internalised by individuals learning, or by acquring individuals who already have that knowledge

Categories: Assimilation


Ad-hoc workplaces

Workplaces where desks are used 'ad-hoc' rather than assigned to individuals.

Categories: Organisation | Social

Cons: Finding people to talk to. Not your own space (personal clutter and reference material; social). Pros: forced churn, mixing contacts and networks {Anti:Collaborator Situation Invisibility} {Background awareness} {Interruptions}

ANTI:Collaborator Situation Invisibility | Background awareness | Interruptions


Aleatory Variability

Uncertainties that can be modelled as probabilistic, eg rolls of dice

Categories: Uncertainty

Unknowable uncertainty; rolling the dice cannot be predicted, but (maybe) probabilities can be assigned In principle, as [Klugel 2007] argues, Aleatory Variability is also subject to {Epistemic Uncertainty} as we can't really tell if the dice is biased or not. However I think this is too strong; we can have situations where the assumptions to simplify down to Aleatory Variability is useful. A requirement for, eg Bayesian modelling of possibilities from uncertaint input evidence and likelihoods

Epistemic Uncertainty

Klugel 2007


Alertness

How quickly new information is noticed and dealt with

Categories: Time | Quality

[SAS 050] {Response Time}

Response Time

SAS 50


Alternate Hypothesis Testing

Comparing different hypothesis by referring back to evidence

Categories: Time | Quality | Method | Trust

Fairly common analytic tool, see eg Structured Analytic Techniques [Heuer 2010], Quick Wins for Busy Analysts [DIA 2013]. Similarly {Best Explanation} in academic work Suffers from hidden GIGO {Garbage In Garbage Out} or {Crackpot Rigour}; can 'seem' objective, so puts a thin veneer over the top of rubbish. Useful as a way of systematically re-appraising {anti:Bias}. Not fast {anti:timeliness}

Best Explanation | Garbage In Garbage Out | Crackpot Rigour | ANTI:Bias | ANTI:timeliness

Heuer 2010 | DIA 2013


Alternate Practice

Instead of moving the information, move the assessor or the role of assessor to the information

Categories: Other | Colocation

Consider alternatives to moving the information from source to assessor. For example, move the assessor to the information or move the assessing task by delegation. Derived from alternate practice for decision making (ie, moving the decision making or decision maker) see eg candidate list [Eriksson 2009] {Delegation} {Colocation}

Delegation | Colocation

Eriksson 2009


Alternative Fact

Ambiguous and unresolved data conflict (OR: conclusion given as fact, OR: falsehood)

Categories: Assessment | Assessing | Bias | Community Bias

Intrepretating ambiguous measurements, and differently mixed data feeds, result in alternative interpretations that are frequently given as 'facts'. For example "Global warming is a fact" or "It is a fact that the universe came into being 13bn years ago" are both actually assertions of conclusions; of interpretating datasets with corresponding assumptions and adjustments. Popularised following use at a press conference by Kellyanne Conway 2017 and rapidly became a {Poisoned term} to imply falsehood. Now part of the wider {Tribal} aspects of meta-debate: 'we' do truths and facts 'which are not partisan' and 'they' do falsehoods and 'alternative facts'. See also {Othering}

Poisoned term | Tribal | Othering


Ambiguity

Where several possible situations may apply for a particular knowledge set

Categories: Knowledge | Situation Awareness | Situation Complexity

[Dictionaries]

Dictionaries


Anxiety

Emotional impact on assimilation and assessment

Categories: Social | Quality | Context

[Dictionaries] {Distraction}

Distraction

Dictionaries


Apologies

Social repositioning that allows contradictions to be resolved and knowledge to transfer

Categories: Social

Apologies in argument '' social and internal repositioning eg [Smith via DigLib] that allows contradictions to be resolved and knowledge to continue to transfer

Smith via DigLib


Appearance Bias

The appearance of an individual can skew our perception of what they say

Categories: Cognitive Bias | Bias | Social

An early example was the Nixon vs Kennedy debate, where contemporaries claimed that Nixon suffered from his appearance compared with Kennedy (however this appears to be not well founded, see eg [Vancil & Pendell 1987] ) Also that appearances affect success eg [Judge & Cable 2004] and trustworthiness [Petrican, Todorov & Grady 2014] [Todorov 2008]. OKCupid ran some interesting trials on their members to look at how the information (text) weighed against the appearance (pictures) and found - it had almost no weight at all. [Rudder 2014] ...however there are some studies that suggest that *not* appearing is a problem see eg {Colocation} and {Collaborator Situation invisibility}.

Colocation | Collaborator Situation invisibility

Vancil & Pendell 1987 | Judge & Cable 2004 | Petrican, Todorov & Grady 2014 | Todorov 2008 | Rudder 2014


Argumentation

Conveying conclusions and reasoning to persuade

Categories: Quality | Method | Assessment

''Argumentation'' is a means of conveying evaluations and the reasoning behind them in a structured way. ie, persuasion through reason, rather than persuasion through rhetoric. [Rodriguez 2007] [Dictionaries] {Assimilation} {Reasoning} {Rationality} {Speech Acts} {Persuasion}

Assimilation | Reasoning | Rationality | Speech Acts | Persuasion

Rodriguez 2007 | Dictionaries


Assessing

Combining information and theory to form a set of possible situations and futures

Categories: Quality | Time | Method

Distributing knowledge across collaborations requires more than just dissemination. For knowledge to be useful to different components in a collaboration, it has to be combined with other knowledge, assessed for worth, compared with the situation and context and other knowledge, and filtered and weighted for suitability. All this uses expertise at each step.


Assessment

The output of assessing, and input information to assessing

Categories: Method | Time

As information and theory, referring to the output of the fusion/assessment. Which is input (information) to something else {Information}

Information


Assessment Cycles

Repeated activities used to model iteratively changing understanding of the real world

Categories: Time | Quality | Method

Category Characteristic for characteristics such as decision cycles, intelligence cycles, etc. While these are sometimes used as workflows (see eg Battle Rythm), they should only be used as training models for how we think, not models for processes [Hill FTX night essay] [Storr 2009] [Morse 2013] {Intelligence Cycle} {Decision Cycle}

Intelligence Cycle | Decision Cycle

Hill, FTX, night, et al | Storr 2009 | Morse 2013


Assessment Redundancy

Various factors around redundant assessments to improve reliability

Categories:

{Red team} Costs more {Resources} but *can* be used to improve accuracy. [Heiman] points out that simply adding more assessors, whether in {Veto Redundancy} or {Mandate Redundancy} (he uses 'serial' and 'parallel' but these are logic gate models) can result in reducing Type I errors at the expense of more Type II, adn vice versa. Instead, to reduce the opportunities of both, you need assessment teams in both {Veto Redundancy} and {Mandate redundancy} voting structures. this of course has higher {Resources} costs, and can lead to {Redundancy Shirking} and {Turf Wars}

Red team | Resources | Veto Redundancy | Mandate Redundancy | Veto Redundancy | Mandate redundancy | Resources | Redundancy Shirking | Turf Wars

Heiman


Assimilation

Internalising information (from the Expressed World to the Internal World)

Categories: Knowledge Transfer

Communication, or Acquiring information is necessary but insufficient; that information also needs to be internalised. [Li 2005 p22] Although this might be included in the term {Acquisition}': "What do we mean by ''acquisition'' if it''s not in your head" [Zarinpoush & Gotlib 2006] Called "Combinative Capability" when talking about organisation's abilities to suitably internalise knowledge by eg [Kogut & Zander 1992 via Bosch, Volberda, Boer 1999] {Learning}

Acquisition | Learning

Li 2005 p22 | Zarinpoush & Gotlib 2006 | Kogut & Zander 1992 via Bosch, Volberda & Boer 1999


Association

Reputation gained by who individuals are with or which organisation(s) they belong to, rather than activity or past performance

Categories: Social

Reputation from association: "I am one of these, and you are of these, so in order to prevent these from coming into disrepute, I will make sure you have what you need to know". And "I am one of these, you are one of those, and X is one of those and he is.... " {Reputation} {Prejudice} {Othering}

Reputation | Prejudice | Othering


Assumptions

Inputs to assessments based on past experience, judgement, or unnoticed bias. May be explicit, implicit, or hidden

Categories: Time | Quality | Method

Assumptions reduce complexity. Explicit assumptions are ways of agreeing what's been fixed. Hidden assumptions are extremely difficult to extract [Shaw & Thompson 2016] {Inputs} {outputs}

Inputs | outputs

Shaw & Thompson 2016


Attention

The 'pool' of cognition available to focus on tasks

Categories: Time | Quality

Attention is a pool [Endsley]. Can the pool size be changed? Draws on attention can be reduced by experience (and therefore suitable training). eg drills for rifle loading and firing reduce draws on attention during combat and need for explanation [DePuy 1958]. But compare with use of mobile phones when driving, some attention cannot be separated [Bhargava & Pathania 2013] and [Strayer et al 2003] Managing Knowledge is not free; [Sieloff 1999] "even as the web introduced more information, it did nothing to expand our limited attention capacity". In internal knowledge markets 'members need enough time to shop for knowledge or to sell it' [Davenport & Prusak 1998 p47 via Hinds & Pfeffer 2003] Related to {Cognitive Load} which is a kind of measure of draws on attention, and a variation of {Cognitive Capacity} which is a kind of measure of the maximum load that someone can be put under.

Cognitive Load | Cognitive Capacity

Endsley | DePuy 1958 | Bhargava & Pathania 2013 | Strayer & et al 2003 | Sieloff 1999 | Davenport & Prusak 1998 p47 via Hinds & Pfeffer 2003


Attitude

Fostering or importing attitudes (eg willingness to share) can be alternatives to explicity direction or instruction

Categories: Other

Another way of looking at viewpoints and predilections [Oskamp 2005 via DigLib] that drive both the ability to absorb knowledge, but also willingness to share and to find ways to share. Fostering attitudes in an organisation or creating suitable incentives saves having to direct knowledge distribution. {Incentives} {Culture}

Incentives | Culture

Oskamp 2005 via DigLib


Audience

Selecting the right targets for the dissemination of information

Categories: Other

Are the right communication links being made between the right people? Are people talking indirectly to people who then have to relay? Do they have the right language and skills (eg liaisons and FOOs)


Authentication

Processes and mechanisms to restrict access to information, and to ensure that information is from what it says it is from

Categories: Information Assurance

Common term [Dictionaries]

Dictionaries


Authority

What can make a call on deciding (or concluding assessments) one way or another

Categories: Other

An edge-topic in this study, related to command and control but also affects what assessments can be made where. [Eriksson 2009] {Delegation}

Delegation

Eriksson 2009


Background awareness

Subliminal awareness of what's going on around an individual

Categories: Social | Context

Background subliminal awareness eg of what's going on around you in open plan offices without dividers keeps you aware of context (contrast with {Collaborator Situation Invisibility} when dealing with people who are not colocated, and so cannot be aware of), and fosters small-scale knowledge sets from evesdropping and serendipitous connections between people. [Sieloff 1999] so distributed teams should only apply when the benefits (eg wider pool of expertise) outwiegh the costs (close cooperation). Also distracting, consumes attention. . {physical proximity} {Colocation}

Collaborator Situation Invisibility | physical proximity | Colocation

Sieloff 1999


Barriers

Blockers, reducers and/or corrupters of knowledge transfer

Categories: Knowledge Transfer | Information Transfer

Often a marker for {Boundaries} For example Cost centre barriers; have you got a booking code for this conversation? No? Then I cannot book my time to it and therefore cannot talk to you. (from conversation with March, Pike, Beattie et al) {Motivation Barriers} and {Cognitive Barriers} suggested by [Hinds & Pfeffer 2003]

Boundaries | Motivation Barriers | Cognitive Barriers

Hinds & Pfeffer 2003


Been-There Trust

If you've not been there, then you don't really understand

Categories: Social | Context

"Being there" improves credibility and possibly reduces misunderstandings [Mortensen & Neeley 2009]. However beware having been in *similar* situations that are different in Important Ways (Neglected Vital Differences) {Reputation} {Context} {Tribalism} {Collaborator Situation Invisibility}

Reputation | Context | Tribalism | Collaborator Situation Invisibility

Mortensen & Neeley 2009


Believability

The fit between a report and its plausibility and probability of being true given the current understanding

Categories: Trust

[Ge, Helfert, Jannach 2011] Slightly different from {Trust}, in that something may be Believable but the source is not trusted, or that the source is strongly trusted but the information is not believed due to a (possibly incorrect) existing situation picture (see {Iconoclastic Sausage})

Trust | Iconoclastic Sausage

Ge, Helfert & Jannach 2011


Best Explanation

Comparing explanations (hypothetical theories) to find the 'best' one that fits the evidence, for various meanings of 'best'

Categories: Method

Similar to {Alternate Hypothesis testing}. Tackling the problem of several possible explanations for the same evidence, and what this means for prediction. See eg [Thagard 1978] (but much older topic) who suggests three measures of 'better': Consilience (how many classes of observation does it explain), Simplicity (how many strange/odd add-ons are required) and Analogy (which is really to do with explanation, rather than validity).

Alternate Hypothesis testing

Thagard 1978


Best Practice

knowledge of what business processes work well, or are most appropriate to, particular business tasks.

Categories: Routines

May be "Shallow" as implementers and even trainers do not need to know *why* the business process is 'best practice'. This can make transfer quicker improving {Timeliness} and reducing {Cognitive Load} (as less understanding is required) but makes it harder to adapt {Flexibility} to fit particular or changing circumstances. [Szulanski 1996] describes the transfer of best practice in four stages, and some difficulties in each as {Stickiness} Not always clear what it is due to {Causal Ambiguity} and if not careful leads to {Superstitious Learning}, but even {Gorillas In A Cage} learn

Timeliness | Cognitive Load | Flexibility | Stickiness | Causal Ambiguity | Superstitious Learning | Gorillas In A Cage

Szulanski 1996


Better Things vs Things Better

Categories: Method | Timeliness | Quality

Not just speeding things up/improving quality/process, but doing something different that is better. Eg stepping away from decision cycles?


Bias

A range of cognitive and assessment failures that increase distance between understanding (Internal World) and the Real World

Categories: Trust | Method

Category Characteristic [Dictionaries]. Biases can be mitigated by training and methods and techniques appropriate to the bias, eg [Heuer 1999] {Heuristics} {Skew} {ANTI:objective} anti

Heuristics | Skew | ANTI:objective

Dictionaries | Heuer 1999


Boundaries

The 'edges' of collaborating groups that normally indicate a change of ease of communication

Categories: Organisation | Organisation structure

For example, [Ciborra et al 1996] outline the increased difficulties of sharing knowledge through the boundary defined by who is inside and who is outside a single firm, then who is inside and outside a collaborating group that includes that firm. Boundaries will usually come with some {Barriers} to communication, such as (in the case of [Ciborra et al 1996] above) reduced incentives to share with 'external' organisations and disincentives to share with competitors.

Barriers

Ciborra & et al 1996 | Ciborra & et al 1996


Boundary mistranslation

Categories:


Boundary Spanner

Term used by Katz and Kahn to refer to people who cross boundaries

Categories: Organisation

eg {Liaison} or negotiators, partners, etc. [Katz & Kahn 1978] . Also the kitchen (especially one that encourages interaction - like a badly planned one), the smoking room/shed (which is reducing), the coffee pot or water cooler. 'Leaning out' non-productive time in these places have less obvious costs. Case study of both informal and informal boundary spanning [Kim & Jarvenpaa 2008] See also for example knowledge management between customers and Starbucks [Alton 2013]

Liaison

Katz & Kahn 1978 | Kim & Jarvenpaa 2008 | Alton 2013


Bounded Rationality

Rational within bounds; eg where experience is relevant to the case, but cognitive limitations under circumstances (eg situation, cognitive load, etc)

Categories: Assessing

Associated with [Simon 1957] but the concept (we only think 'properly' in limited circumstances) probably for much longer

Simon 1957


Brain in a Vat

The 'nightmare' scenario for discussing whether there is a 'real reality' to know in the 'true justified belief' sense

Categories: Knowledge

The philosophical discussion around what is knowledge, particularly when based on {true justified belief}, still continues. The Brain in a VAT scenario (are we simulations for some future PhD student, either en-mass or in small groups, are we brains in a VAT, dreams of a Demon, etc) are essentially refutations that we can know that we are in a real world, and therefore we cannot truly know anything (see summary by [Hickley 2017] ) Pragmatically, therefore, this would seem to be a good reason to adjust the requirements for 'knowledge' rather than try and work the other way around. We may or may not *truly* know what the world is, but I know if I stub my toe it hurts, and therefore I try not to stub my toe whether it is a real toe or a virtual one.

true justified belief

Hickley 2017


Bypass Direct Data Feeds

For example UAVs, or body-worn police cameras, provide a way of passing data directly to assessors without going through other people's memories first

Categories: Knowledge Transfer | Observation

{Communication} Body-worn police cameras carry several good/bad issues as {Social} effects on both civilians and police, but aid to knowledge transfer less clear. Can show 'actual' events better than recollection (or claimed recollection) but not events off-camera or obscured, or previous to recording. Interpretations remain mixed according to expertise (see eg [Otu 2016] ) and issues with privacy once the recording has been made and is in an archive. Also "Kill TV" distraction; video feeds brought into HQs results in distraction of staff in the HQ, rather than delegating the assessment to image analysts in specialist teams.

Communication | Social

Otu 2016


Causal Ambiguity

Difficulty in extracting understanding from knowledge, where the cause or relationship between events is not seen or could be several options

Categories: Collaborator Situation Invisibility

From [Lippman & Rumelt 1982] although they were talking about uncertainty in commercial organisations imitating other ones due to not being clear what to imitate (or indeed, not being clear about what a firm did itself that was successful). More clearly explained and expanded by [Powell, Lovello & Caringal 2006]. Related to {Tacit Knowledge} where it's not clear what the knowledge is that produced the goods. In particular can restrain effective {Knowledge Transfer} in situations where the Source has high {Trustworthiness}, as the recipient spends less time checking the details and so exposing the ambiguity [Szulanski, Capetta & Jensen 2004]

Tacit Knowledge | Knowledge Transfer | Trustworthiness

Lippman & Rumelt 1982 | Powell, Lovello & Caringal 2006 | Szulanski, Capetta & Jensen 2004


Channelled Sampling

Where the items being observed in the real world are forced or tend to go through channels that allow observers to see a good representative set of them.

Categories: Sampling

from operation market garden, observing the bridges (eg Charles Labouchere in [Ryan 1974]). Also camel or other livestock 'crush', where all the animals are put through one channel to be cleaned but also weighed and inspected.

Ryan 1974


Checklists

A simple form of routine that allows process knowledge to be easily transferred

Categories: Routines | Codifying

A checklist is an externalised, expressed, explicit, coded routine that can be created by experts and then easily communicated to non-experts for execution. {Explicit Knowledge} {Codifying} {Routines}

Explicit Knowledge | Codifying | Routines


Churn

The movement of people into and out of a collaboration

Categories: Social | Organisation

see eg "Churn Rate" [Dictionaries]. Loss of local expertise and team cohesion, vs bringing in new ideas and fresh approaches. Not all churn is bad, depending on who is going (the term "Acceptable Attrition" has been heard used) {Experience} [Nonaka & Takeuchi 1995] recommend controlled internal churn to spread knowledge about the organisation 'all employees are expected to hold at least three different jobs in any given ten year period'

Experience

Dictionaries | Nonaka & Takeuchi 1995


Clarity

Enunciating more carefully to avoid ambiguity in speech; similarly in choices of words, diagrams

Categories: Assimilation

Without audience cues, remote speakers must speak more carefully and are harder to understand [Bos et al 2009] although with clear sound this might not be significant [Jesse, Vrignaud, Massaro 2000]. What knock on effect might there be in preparing for this with more care, vs 'winging it' in person? {Ambiguity}

Ambiguity

Bos & et al 2009 | Jesse, Vrignaud & Massaro 2000


Cliques

Tendency for people to form small groups of 'us' vs everyone else

Categories: Social

People tend to form subgroups of ''us'' and ''them'' with even reasonably small perceptions of differences and '' even if not explicit - favour people that they know. Relationships can be to groups rather than individuals. [Bos 2009, p21]. Introduces barriers to communication from outside, reduces barriers inside An extreme view of getting out of groupthink: Escaping or disengaging from radical tribes [kira harris 2010] {Tribalism} {Culture}

Tribalism | Culture

Bos 2009 p21 | kira & harris 2010


Clutter

Information that is not relevant but consumes attention

Categories: Time

Along with the relevant information will be information that is not, but may appear to be for at least some parts of the communication. It therefore consumes attention, communication, storage, and cognition. {Distraction} {Relevance} {Information To Noise ratio}

Distraction | Relevance | Information To Noise ratio


Codifying

Capturing concepts and phrases as shorter codes.

Categories: Time | Explicit Knowledge

When meaning of terms {Explicit Knowledge} is properly shared, then {time} and {Ambiguity} reduces ({reliability} increases). Different meanings generate misunderstandings and block communications. Where knowledge can be sensibly codified (eg technology support via [Earl 2001]) then we can publish and search and read using common search terms. When common categories are hard to determine, and/or when they are not completely shared, effects are harder to determine. [Baber et al 2007] describe a gap between formal codifying that knowledge architects intend, and the personal links that are more frequently used. Example: looking for work in the software industry. The differences between C# and Java languages are nearly trivial, it is the knowledge of the relevant libraries that are vital, yet job advertisements routinely ask for language knowledge rather than domain.

Explicit Knowledge | time | Ambiguity | reliability

Earl 2001 | Baber & et al 2007


Cognitive Availability

The tendency for some parts of the picture to be more 'available' to recall and consideration than others.

Categories: Assessing

See eg [Kahneman & Tversky]

Kahneman & Tversky


Cognitive Barriers

Where the information is too complicated or too much to assimilate

Categories: Barriers

eg [Hinds & Pfeffer 2003]

Hinds & Pfeffer 2003


Cognitive Bias

Mental processes and hidden assumptions that skew weighting of evidence, use of methods and conclusions

Categories: Bias | Method

[Dictionaries]

Dictionaries


Cognitive Bubble

Limitations (sometimes self-imposed) of cognition from restricted access to alternative views, contradicting evidence and argument

Categories: Method | Context | Bias

For example, the tendency to read only one newspaper {Bias} {Confirmation Bias} {Cliques} {Social Bubble}

Bias | Confirmation Bias | Cliques | Social Bubble


Cognitive Capacity

Ability to assimilate, assess over time

Categories: Time | Other

Quantity and time as related to ability to assess content. See also [Simon 1982] "models of bounded rationality vol 2" via [SAS 050] {Attention} {Heuristics} {Cognitive Load}

Attention | Heuristics | Cognitive Load

Simon 1982 | SAS 50


Cognitive Complexity Capacity

Ability to differentiate elements, and the degree to which they may be related

Categories: Time | Other

[Fransella & Bannister 1977] [Schroder et al 1967] [Wyer 1964] via [SAS 050] as Cognitive Complexity {Cognitive Capacity}

Cognitive Capacity

Fransella & Bannister 1977 | Schroder & et al 1967 | Wyer 1964 | SAS 50


Cognitive Flexibility

Ability and willingness to change picture following new /contradictory information

Categories: Flexibility | Assimilation | Assessing

NB Too flexible = {Gullibility}! from [SAS 050]

Gullibility

SAS 50


Cognitive Load

The amount of information being assimilated compared to the amount that can be in the time given

Categories: Time | Quality | Method

Originally from learning [Sweller 1988] but now common term. [Ge, Helfert, Jannach 2011] Limits studied since eg [Miller 1956] the magic number 7 plus or minus 2, and the "Experience of Living in Cities" [Milgram 1970], and a comprehensive review by [Eppler& Mengis 2004] {Information Quantity}

Information Quantity

Sweller 1988 | Ge, Helfert & Jannach 2011 | Miller 1956 | Milgram 1970 | Eppler& & Mengis 2004


Cognitive Proximity

How close people are in thinking; in prior knowledge, experience and beliefs/values

Categories: Proximity

I would split cognition: proximty in prior knowledge as in what i sknown about the situation, proximity in experience as in what is known about *similiar* siutations, and proximity in attitudes/values/cultures (social?) as in similarity of jargon, abstract concepts, attitudes. Cmopare software: proximity in awareness about this project, proximity in experience as socftware engineers, and proximity in large difference between eg Agile and 'well planned' advocates.


Collaboration

Broad category for the arrangement, relationships, practices etc of the collaboration

Categories:


Collaboration Alignment

How close are the collaborating meembers in common intent, common language, common direction, etc

Categories: Organisation | Social | Other

Inspired by [SAS 050] Collaborative Completeness {Intent} {Motivation} {Groupthink}

Intent | Motivation | Groupthink

SAS 50


Collaboration Arrangements

The relationships of people and roles and distances across the collaborations

Categories: Collaboration

A looser super-catagory of, eg, organisation structures in order to span across deliberate organisations and include ad-hoc, opportunity collaborations, etc


Collaboration Capacity

Ability to work to common goal

Categories: Collaboration

[SAS 050] term Collaborative Capacity [Eriksson 2009] candidate list of characteristics: "Coordination" {Culture} {Flexibility} {Motivation}

Culture | Flexibility | Motivation

SAS 50 | Eriksson 2009


Collaboration Categories

Coarse binning and stereotyping of collaboration types

Categories: Method | Organisation | Other

eg [Bos et al 2007] look at academic collaborations as part of a 'science of collaborations' study. Categories are characteristics in this list. In many cases the collaboration is explicitly founded around making decisions, and there are a number of ways of making distributed decisions (eg voting systems) see also [Rodriguez 2007]. These may be the aim of knowledge distribution mechanisms, for example in ''Social Decision Support System'' and ''Group Decision Support Systems'' (eg [Turoff et al 2002 via Rodriguez 2007]. ''Pick and mix'' participations [Rodriguez 2007] implies having policies or strategies that allow a way of switching between modes, eg dictatorship and participatory, as seen in military ops depending on circumstances. [Blankenship 2009] looked at a few different social structures and some of the different priorities and characteristics of them, which will affect which knowledge distribution mechanisms are appropriate. Suggests ''Communities of Practice'' as cross-task (and perhaps cross-companies?). 'Shared Instrument' where data is shared out from an instrument, [Bos et al 2007] Category of Collaboration: 'Open community contribution systems' where a research problem is attacked by the community [Bos et al 2007] 'virtual community of practice' where a research area is shared. ([Bos et al 2007]) also on-line virtual gaming teams ([Algesheimer et al 2010]) as ways of testing concepts in an 'easier' environment - can track and record interactions and outputs - mission success - are easier. Limited transfer to real world for same reasons 'Community Data System' where data is pooled by [Bos et al 2002]

Bos & et al 2007 | Rodriguez 2007 | Turoff & et al 2002 via Rodriguez 2007 | Rodriguez 2007 | Blankenship 2009 | Bos & et al 2007 | Bos & et al 2007 | Bos & et al 2007 | Algesheimer & et al 2010 | Bos & et al 2002


Collaboration Overheads

What resources and attention are consumed by collaboration?

Categories: Method | Time | Organisation

Sharing takes effort time but reduces calendar time, up to a certain point and then it takes calendar time. See eg [Brooks 1995] "The Mythical Man Month" {Attention} {Resources}

Attention | Resources

Brooks 1995


Collaborator Situation Invisibility

The extent to which the situation *of the reporter or audience* is not visible and so can lead to problems in communication and trust

Categories: Collaboration Arrangements | Collaboration Capacity | Colocation

Explaining the situation is important to trustworthiness in statements. This works both ways; if remote experts do not understand the local situation, their appreciation and advice will not be suitable. On the other hand, being unable to see can encourage devolving responsibility [Cramton et al 2007 p541] Plus distraction; if the remote observer is 'busy', that impacts communications, and in turn this can cause a view of uncommitment or incompetence. Disconnect between actual situation, expected behaviour, and perception of actual behaviour. eg "why is the speaker late?" who gave directions, who is telling you who did, etc. Technology can provide ways of communicating but without the social and background cues that provide background; ie, enablers but with unpleasant side effects. Assuming that remote workers situations are similar to own. [Szulanski et al 2004] call this {Causal Ambiguity} and declares in rather roundabout language that it strongly affects the recipients trust in the source, and so in turn the effectiveness of the communication. [Bazarova & Walther 2009] say that remote communications can lead to ''biased attributions'' that ''impede effective communication and collaboration in a variety of settings'' {Reference data sets} (commonly viewed documents, whiteboards, numerical, maps, etc ) to reduce this. Horizons available (eg [Kurapati 2012]: Perception (See), Prescription (modify), Participation (do)) where things are so complex that you cannot expect to see the full situation, or the full situation of other people.

Causal Ambiguity | Reference data sets

Cramton & et al 2007 p541 | Szulanski & et al 2004 | Bazarova & Walther 2009 | Kurapati 2012


Collection Bubble

Limitations (sometimes self-imposed) of cognition from restricted access to alternative views, contradicting evidence and argument

Categories: Method | Context | Bias

For example, the tendency to read only one newspaper {Cognitive Bias} {Cognitive Bubble} {Confirmation Bias} {Cliques} {Social Bubble} {Source Availability}

Cognitive Bias | Cognitive Bubble | Confirmation Bias | Cliques | Social Bubble | Source Availability


Colocation

Collaborators that are physically located next to each other.

Categories: Organisation | Social

Many studies show local face to face collaboration is better (faster, more trustworthy) than remote eg [Rocco et al 2001] [Sieloff 1999] [Cramton et al 2007] [Altschuller and Benbunan 2010] [Teasli et al 2002 via Bos et al 2009]. The term 'Colocation' appears frequently as the key element for trust and knowledge transfer (as opposed to fact transfer), see eg [Altschuller & Benbunan 2010], [Steiloff 1999] about background listening and low barriers to short dialogue exchanges, [Teasli et al 2002 via Bos et al 2009] find double productivity in locating a software team in the same room, and many of the other descriptions here about barriers (eg situation invisibility) that appear when we disperse. Social visibility affects uncertainty of reputation, eg [Rocco 2001]. {Physical proximity} matters more than mutual interests [Kraut etc 1988] Yet as [Dabbish et al 2012] show when looking at GitHub developers (and [Bardzell 2008] show in WoW) there are examples of people developing social bonds and interactions through quite limited UI interactions. Anecdotally (in)famously some engineers will happily write emails to those sitting next to them to have time to prepare thoughts, and allow each other to deal with it at convenience rather than interrupt a thoughtful moment. [Wilson 2008] discusses ways of making people ''feel'' close while being remote. Interestingly [Bos et al 2009] found no effective difference in performance between collocated players and distributed players; distributed players set up their own subgroup when they were left low-priority from the collocated players . [Olson & OLson 2000] studied which factors influenced distributed collaboration, and later [Zimmerman, Olson Olson & Bos 2008] give a checklist of 'success factors' for distributed scientists based on their work. This characteristic has a set of categories: people located around the same desks are 'more' colocated than those in the same open plan office, who are 'more' colocated than those on the same floor in different rooms, etc {Physical Proximity}

Physical proximity | Physical Proximity

Rocco & et al 2001 | Sieloff 1999 | Cramton & et al 2007 | Altschuller & Benbunan 2010 | Teasli & et al 2002 via Bos & et al 2009 | Altschuller & Benbunan 2010 | Steiloff 1999 | Teasli & et al 2002 via Bos & et al 2009 | Rocco 2001 | Kraut & etc 1988 | Dabbish & et al 2012 | Bardzell 2008 | Wilson 2008 | Bos & et al 2009 | Olson & OLson 2000 | Zimmerman, Olson, Olson, et al 2008


Commercial Value

Knowledge has value and so may not be easily shared

Categories: Organisation

Knowledge has value, and so there may be some reluctance to give it away for free (consider for example medieval Guilds) {Barriers}

Barriers


Commitment

Commitment to task, commitment to team

Categories: Social

Inspired by derived from [SAS 050] Commitment/Loyalty {Motivation}

Motivation

SAS 50


Common Cause Proximity

How close - or how opposed - are those in the 'collaboration' to sharing a mutual goal

Categories: Proximity | Intent

An indication of how close the 'collaborators' are in aligning to a mutual goal; the scale (by Salt & Hill, it appears) goes something like this: {Conflict} <--> Compete <--> Cooperate <--> Collaborate ..and moving up and down the scale changes the heights and types of barriers to communication. Note that {conflict} is not always bad See eg [SAS 050] Consistency of Command Intent which may also be modified by how well the intent is communicated {Intent}

Conflict | conflict | Intent

SAS 50


Common language

Degree of anti-ambiguity in terms used

Categories: Time | Method | Context

Strong overlap with {Codifying}; use of common labels and meanings. See eg [Sauer 2006 et al section 3.1] [Zastrow 2001] {Speech Acts} {Codifying}

Codifying | Speech Acts | Codifying

Sauer, 2006, section, et al | Zastrow 2001


Communication

'Information' or 'Data' level transfer, eg via telephone or email

Categories: Knowledge Transfer

Simulation suggests that more communication links can slow knowledge distribution due to more talking and less doing. [Holton 2001] also describes how adding another communication option (web conferencing) to email and voicemail added 'search time', when looking for information in another place. Also dialogue then fragments between different means, and the conversation becomes hard to follow and revisit

Holton 2001


Community Bias

Tendency to self-reinforce views and filtering in broad groups

Categories: Context | Social

Common term {Bias} {Groupthink} {Cliques}

Bias | Groupthink | Cliques


Community Isolation

The degree to which people can move into a community bringing external skills, experience & knowledge

Categories: Organisation | Barriers

Organisations restrict, deliberately or by accident, the entry of others into them and this filters what knowledge is available for import. For example, the military selects young people for fitness, certain kinds of attitude and aptitude, and these are then the population from which all military posts are drawn (there is also some self-selection by the population; not all people will apply). Intelligence services then downselect further using security checks, and this further reduces the cognitive and experience range available to analyst teams. Military career and promotion incentives means that experience analysts tend to be promoted out of the analyst teams, leaving the analysis to relatively junior staff with limited and similar life experience. Similarly, though to a less extent, academies tend to select for exam (and academic!) proficiency, and most posts are then filled from people who have come through the academic pipeline. Contrast with engineering projects, where teams are assembled and then scattered, strongly mixing skills and experience across the organisations. Somewhat {anti:Churn}. Actually contains two points: reduced pools of expertise and knowledge due to selection, and reduced transfer of knowledge by isolated working practice.]

ANTI:Churn


Community Myth

Categories: Discourse Analysis

Stories that become 'truths' within communities as it fits their biases, and so is not challenged (not quite groupthink, but related). See eg political myths (BBC R4) {Groupthink}

Groupthink


Competence

Degree to which skills are suitable for the assessment

Categories: Method | Context

Common term {Education} {Training} {Mentoring} {Quality Assurance}

Education | Training | Mentoring | Quality Assurance


Competition

Where collaborations are competing against other collaborations

Categories: Motivation

[Dewey 2008] emphasises getting inside decision cycles to do better than your competition in order to survive - ie being faster. Competition between groups '' war-fighting or commercial '' drives knowledge distribution across barriers as the groups seek to know their enemies eg [Fahey 1998]. Knowing your opposition also needs to be part of the collaboration knowledge set. In the candidate characteristic list of [Eriksson 2009] {Incentives} {Competitive Intelligence}

Incentives | Competitive Intelligence

Dewey 2008 | Fahey 1998 | Eriksson 2009


Completeness

What relevant data is missing about the situation

Categories: Context | Method

[Dictionaries] [Ge, Helfert, Jannach 2011] [SAS 050] {Uncertainty}

Uncertainty

Dictionaries | Ge, Helfert & Jannach 2011 | SAS 50


Comprehensive

Combining several approaches to improve total cognitive capacity, quality and response time

Categories: Method | Quality | Time

eg [Jasimuddin 2008] using several methods, both hard (explicit knowledge, information) and soft (face to face for tacit knowledge, etc). via Jasimuddin to [Scarbrough, 1999] [McAdam and McCreedy, 2000] [Desouza and Evaristo, 2003] [Swan and Scarborough, 2001] [Pan and Scarbrough, 1999] {Cognitive Capacity} {Quality} {Response}

Cognitive Capacity | Quality | Response

Jasimuddin 2008 | Scarbrough 1999 | McAdam & McCreedy 2000 | Desouza & Evaristo 2003 | Swan & Scarborough 2001 | Pan & Scarbrough 1999


Concealing Information

Deliberate decision by collaborators not to share

Categories: Method | Quality | Social | Other

A logistical/deliberate concealment [Collins 2001]; for example an author does not want to reveal all the tricks of the trade to all, or for example journals provide insufficient space for detail, data, code, etc. {Relevance} {Uncertainty} {Completeness} {Commercial Value}

Relevance | Uncertainty | Completeness | Commercial Value

Collins 2001


Confidence

Extent to which risky, dangerous actions can be based on the information

Categories: Quality | Trust

Informatic rather than social measure; an aspect of trustworthiness. Explicit marking includes the NATO/Admiralty and 5x5x5 codes {Reputation} {Trust}

Reputation | Trust


Confidence Audit

Ability to trace confidence markers back down evidence and source chain

Categories: Quality | Trust | Quality Assurance

When unravelling a picture due to new information, the confidence in that new piece of information should (in principle, rationally) need to be compared with other information. That confidence should (again, in principle) be trackable so that the evidence chain can be checked and proved, especially where new information has strong iconoclastic properties. See eg Chain of Evidence [Dictionaries] [Common Term] {Provenance Assurance}

Provenance Assurance

Dictionaries | ...


Confident Ambiguous Labels

Labels that are perceived to mean specific, but different, things by different people

Categories:

see eg Words of Estimative Probabiliy. But also what 'operational' means in the Challenger Shuttle accident.


Confirmation Bias

The tendency to discard observations that contradict a picture, and add those that support it

Categories: Bias

[Dictionaries] "Cognitive Immunization" is A term used by psychologists to refer to the ways we voluntarily block out ideas and data that contradict our existing conclusions and situation understanding. see eg [Wood & Gabby 2003] (Note that this is an 'edge' topic in this study, interfacing with the field of cognitive psychology) {Epistemic Bubble} {Cognitive Bubble}

Epistemic Bubble | Cognitive Bubble

Dictionaries | Wood & Gabby 2003


Confirmation Incentive

Ensuring that knowledge has been properly transferred

Categories: Social | Organisation

A share in decision making/ownership encourages employees to check that knowledge is properly transferred [Barret 2004] [Thomas-Hunt 2003] via [Lucas 2006 p19]. {Attitude}

Attitude

Barret 2004 | Thomas-Hunt 2003 | Lucas 2006 p19


Conflict

Deliberately introducing a measure of conflict can mitigate group think and challenge assumptions

Categories: Social | Organisation | Method

Deliberate conflict can cause friction to force discussion and introspection, instead of forcing discussion by policy directives ("red team this") that can be ignored or mis-monitored, eg [Ã?Â?gland 2009 p10]. See also [Burnett 1993] as a way of putting off or delaying consensus in order to force continued discussion and avoid over-quick groupthink consensus. Contrast with {Thinking Too Long } Introducing IT 'stirs things up' [Checkland & Holwell 1998 p7 via Jones 2001], and [Nonaka & Takeuchi 1995] talk about the usefulness of confusion to encourage reexamination of {assumptions}. [O'Leary 2006] discusses the value of dissenters in government. Forcing people out of their groupthink comfort zones, ie interrupting the {assumptions} typical of {groupthink} [Johnson 2001]

Thinking Too Long | assumptions | assumptions | groupthink

Ã?Â?gland 2009 p10 | Burnett 1993 | Checkland & Holwell 1998 p7 via Jones 2001 | Nonaka & Takeuchi 1995 | O'Leary 2006 | Johnson 2001


Consistency

Degree to which new information matches previous and other information

Categories: Social | Method | Other

Degree to which new information matches previous and other information (consistent meaning, consistent structure, presented in the same format Ge, Helfert, Jannach 2011) {Integrity}

Integrity


Construct Validity

Suitability of the property we are measuring; how well it represents what we think it does

Categories:

Suitability of the property we are measuring; how well it represents what we think it does [Costa 2012] [Sechrest 1984] [AQA 2008] although [Michael]?s teaching materials suggest a concept closer to Value Validity as described here.

Costa 2012 | Sechrest 1984 | AQA 2008 | Michael


Contact Frequency

Number of interactions between collaborators over time

Categories: Social | Method | Organisation

{Interruptions} {distractions}

Interruptions | distractions


Context

The surrounding situation, the domain of expertise, existing education and language exposure. Deprecated; split into collaboration etc

Categories: Collaboration | Situation


Context Dependence

Degree to which understanding depends on specific context.

Categories: Context

Reverse of [SAS 050] Field Independence {Flexibility}

Flexibility

SAS 50


Context Information Quality

Categories: Context | Quality

Context Information Quality characterizes the intended use of information and indicates that the use of dimensions relates to a specific context. It measures the extent to which information is relevant and useful. Obviously the user is the main subject involved in context-dependent IQ assessment. Based on the context-related evaluation, users evaluate the relevance of information in a particular context. [Ge, Helfert, Jannach 2011] [Wang & Strong] {Information Quality}

Information Quality

Ge, Helfert & Jannach 2011 | Wang & Strong


Contrast

Degree to which new information contradicts or supprots the existing picture

Categories: Context | Trust

Contrasting knowledge sets when too different or too close: ''little learning occurs when two agents become so closely aligned in their knowledge sets that their knowledge becomes redundant'' [Mowery, Oxley and Silverman, 1996] [Ahuja and Katila, 2001]. No surprise there. {Surprise} {Iconoclastic Sausage}

Surprise | Iconoclastic Sausage

Mowery, Oxley & Silverman 1996 | Ahuja & Katila 2001


Control & Monitoring

"Internal" knowledge distribution to manage goals and conditions of the collaboration, ie the internal situation

Categories: Collaboration | Knowledge Transfer | Situation

"Cybernetics" is possibly an obsolete term referring to control and comms between people and machine See eg [Ashby]

Ashby


Control and Monitoring

Activities to support collaborations

Categories: Organisation | Context

Control & Monitoring execution of policies; feedback control loops (quality assurance of strategy implementation, and/or need to modify strategy) eg [Ã?Â?gland 2009]. It is not sufficient to believe that high quality is there or improvement continuous if the measures tell you otherwise, or there is no measurable feedback (''fake'' quality). Importance that quality measures are appropriate (and appropriately onerous...). {Information Assurance}

Information Assurance

Ã?Â?gland 2009


Conveying expertise

Possibly higher level than knowledge; long term transfer of expertise not just information

Categories: Other

Facts vs expertise: [Bray 2010] tends to talk in quite low level detail about language as a means to exchange information/facts, rather than to aggregate expertise or knowledge, especially derived from tacit {Tacit Knowledge}

Tacit Knowledge

Bray 2010


Cooperativity

Broad term for all the capabilities and constraints for what people *could* do to cooperate

Categories: Organisation | Social

Derived & Inspired by [SAS 050] {Collaboration Alignment} {Incentives}

Collaboration Alignment | Incentives

SAS 50


Crackpot Rigour

The appearance of rigour, for example by mechanical process or inspection, that is too early subverted (eg by high sensitivity to conditions by process, or corrupted inspection)

Categories: Method | Assessing

Competitive Hypothesis Testing etc without applying skill; seems like rigour but isn't. Inspection can fail due to social and professional incentives.


Criticality

The degree to which particular information makes a difference to the assessment vs information that makes less difference

Categories: Method | Other

Inspired by alternative hypothesis testing from eg the Quick Wins handbook [DIA 2013] and Heuer's Structured analyatic Techniques [Heuer 2010]

DIA 2013 | Heuer 2010


Cross-network

Overlaid networks of communication

Categories: Organisation | Communication

Cross networks of knowledge. (for example, a company has task/project reporting management lines, and there are also communication routes through skill specialist groups such as cryptographers) Matrix approaches - cross discipline expertise bragging about success rather than changing views eg [Sieloff]

Sieloff


Cultural Awareness

Awareness of cultural distances; being aware of which assumptions belong to whom

Categories: Social | Method


Cultural Distance

The degree of miscommunication, ambiguity and confusion introduced by the ways that culture (use of language, appearance, assumptions) affect ability to communicate

Categories: Social | Context | Culture | Proximity

Differences in viewpoints that are built into underlying assumptions Boundaries can be recognised and identified. [Hauke 2010] [Riesch 2010] gives us some types of transfer barriers. See also [Giddens 1984] (Structuration) plus also pretty much anything on relativism and post-modernism. We don't have to be fully relativist to understand that, when it comes to understand complex systems / wicked problems (as opposed to 'solid' physics) the impact of culture, language, trust, etc can become significant Culture: Background social attitudes that affect (and are affected by) motivations and habits for communicating and the ways knowledge is understood, communicated, valued and framed. see much of [Yie Li 2005], also [De Long and Fahey 2000], and for an extreme effect, [Gladwell 2010] on plane crashes. {Boundaries} {Barriers} {Tribal} {Cliques} Transferring knowledge between cultures can raise simple problems with misunderstanding common language eg [Hill 2010] or more complex framing problems eg [Li p23]. Having different cultures contribute to assessments helps to identify assumptions, but common cultures with background knowledge and context reduces the explanation load. {Assumptions}

Boundaries | Barriers | Tribal | Cliques | Assumptions

Hauke 2010 | Riesch 2010 | Giddens 1984 | Yie & Li 2005 | De, Long & Fahey 2000 | Gladwell 2010 | Hill 2010 | Li p23


Culture

Broad category of the relationships and attitudes and habits rather than explicit business processes of an organisation

Categories: Collaboration

[Burton & Obel 2004 p140] Lists from [Koys & Decotiis] some features of culture, eg autonomy, pressure, coehsion, support, recognition, fairness, but some of these seem to bleed over to more explicit characteristics. They separate out 'climate' as different [Burton & Obel 2004 p142] from [Zammuto & Krackover 1991] including things such as conflict, trust, rewards, credibiliyt, scapegoating, etc. External culture/climate/environment as well, as this affects motivations and presuser.

Burton & Obel 2004 p140 | Koys & Decotiis | Burton & Obel 2004 p142 | Zammuto & Krackover 1991


Currency

How much time has elapsed between event and report

Categories: Time | Trust

[SAS 050] as Awareness Currency {Timeliness}

Timeliness

SAS 50


Data Accuracy

Difference between the reported observation (the measure or derived measure) and the actual real world

Categories: Quality

Some possible issues about accuracy vs correctness to do with human absolute error. A clock is accurate if it measures seconds very well, but may be incorrect according to the time zone or due to setting the clock wrong. A gun may be accurate but pointing at an incorrect target. Number of digits to right of decimal place [Wolfram] (Essentially unknowable, as we cannot know the real value. We only know different measured values, or calculated values from theory and other measured values) {Quality} {Information Accuracy}

Quality | Information Accuracy

Wolfram


Data Correctness

Degree to which information matches ground truth. Can never be known for the real world, but can be for 'exercise' worlds.

Categories: Data Quality

However bear in mind Dekker's points about Situation Awareness, that even comparing against exercise worlds can be tricky as the values placed on what is relevant, important, etc, might be different between exercised and exercising staff, and 'correct' for both in idfferent circumstances.


Data Precision

Difference between measurements of the same real world value

Categories: Quality

Definitions vary; differences between measurements of the same [ISO 5725] [NPL 2010], number of significant decimals [Wolfram], number of significant figures (Computing; single precision, double precision, etc). {Quality} {Prediction}

Quality | Prediction

ISO 5725 | NPL 2010 | Wolfram


Data Quality

Category of qualities of the underlying data, such as accuracy

Categories: Knowledge Transfer


Data Reliability

Difference between measurements of the same real world value

Categories: Quality

{Quality}

Quality


Data Repeatability

Difference between measurements of the same real world value with the same equipment

Categories: Quality | Trust

Repeatability describes the agreement within sets of measurements ...where the same person uses the same equipment in the same way under the same conditions (including place and, as far as possible, time). [NPL 2010] {Quality}

Quality

NPL 2010


Data Reproducibility

Difference between measurements of similar real world items

Categories: Quality | Trust

Reproducibility describes the agreement within a set of measurements ...where different people, equipment, methods or conditions are involved. [NPL 2010] {Quality}

Quality

NPL 2010


Data Resolution

(as image pixel resolution)

Categories: Quality

Degree of measurable change between values. Eg pixels on an image can have very precise values between precise boundaries, but the value is 'smeared' between those boundaries. {Quality}

Quality


Decision Cycle

Workflows modelled on eg Boyd's OODA loop, where information is gathered, analysed, then a decision made, the results viewed, information gathered, etc

Categories: Timeliness

Dynamic in that the workflow can be seen as quicker or longer, depending on how well it is run ("Getting inside the enemy's decision cycle"). Contrast with effective surprise [Jim Storr 2009] Also [Storr 2009 p116] points out that cycles can introduce delays, and that the modern US army takes 36-48 hours to compelte a cycle compared to 12 in WW2 despite better technology (though there are different constraints now, including H&S) {OODA Loop}

OODA Loop

Jim & Storr 2009 | Storr 2009 p116


Dedicated Information managers

Dedicated information managers (not assessors) frees dedicated attention to assessing

Categories: Roles | Team Arrangement

Dedicated Embedded Information Operators advocated by [Pickle 2006]; as knowledge distribution requires dedicated acquired skills and effort and this leaves subject matter epxerts free (more {Attention}) to spend more time on the subject matter. See also, for example, British Army platoon headquarters which have dedicated radio operators to manage the radio and background messages, leaving the commander free to command.

Attention

Pickle 2006


Deduction

A logically safe way of deriving a conclusion from previous assertions

Categories: Method

Safe but useless [Dictionaries]. For example: (1) humans are mortal, and (2) I am a human, therefore (conclusion) I am mortal.

Dictionaries


Degrees of Removal

Distance in 'hops' and 'size' of each hop between event and assessor

Categories: Organisation

''Distance'' in hops between event and assessor. See also Understanding Information Age Warfare {Indirection}

Indirection


Delegation

Moving the decision making (or assessing) to the people close to the information

Categories: Organisation

eg [Liddy 2005] and originally [Krulak 1999] re Strategic Corporal. {Alternate Practice}

Alternate Practice

Liddy 2005 | Krulak 1999


Deliberate Sharing

Putting time aside to discuss and share rather than assess

Categories: Method | Time

Deliberate ''sharing'' sessions ie putting time aside to teach and train and talk ([Oluikpe 2012] '' not sure if implemented/tested). Trade against time out from assessing

Oluikpe 2012


Dictionaries

A type of reference information set where a particular term is used to look up a single common definition

Categories: Information Transfer


Disagreement

Ways to resolve and/or record contradicting assessments in useful ways

Categories: Method

Discourse includes Disagreement: eg [Bray 2010] (denial of reported facts, or propositions). Needs a way to resolve disagreements and conflict in order to transfer ''correct'' knowledge rather than simply a polarised subset. {Conflict}

Conflict

Bray 2010


Discard Picturelets

Discarding or making assumptions about elements of the bigger picture in order to simplify

Categories: Managing Wicked Complexity

When {Information Overload} becomes the case, or to reduce {Cognitive Load} in order to allow {Attention} to be directed at other things, the larger picture may be simplified by discarding or making broad assumptions of elements of the larger picture. Ideally such elements should be delegated (ie {Mission Command} ) instead, depending on the collaboration cognitive availability.

Information Overload | Cognitive Load | Attention | Mission Command


Discourse Analysis

Categories: Method | Assessment

Psychological term for how we build understanding/knowledge from what people tell us. Outline given by Ian [Parker 2013]

Parker 2013


Discovery

Going back to the real world to find out answers

Categories: Method

inspired by [SAS 050]

SAS 50


Disseminative Capacity

The amount and complexity of knowledge that can be externalised, explained and disseminated as information

Categories: Expression

The natural counterpart to {Absorptive Capacity}

Absorptive Capacity


Distraction

Activities that consume Attention that are not on-task

Categories: Time | Quality

Effort on KM is not effort on task: "even as web introduce more info, did nothing to expand our limited attention capacity" [Sieloff]. activities drain a pool of attention [Endslay]. Sharing knowledge takes time, and if time to produce is paramount, it doesn't get shared [Sieloff] Ability to publish: --> huge increase in publishing and therefore increase in available info to everyone else, and vanity publishing, time/attention directed to publishing. [Sieloff], back to bombarded by uncoordinated updates. [Clauswitz] "the man with the telegraph in his back" and similarly [Kramer 1971] [Hurley 2007] [Larsen 2009] [Campbell 1999] Distraction is not only by more information; sensory overload (loud, unusual and distressing visuals, etc) also interferes with communication skills and reduces the pool of {attention} available [Timmons 2009]

attention

Sieloff | Endslay | Sieloff | Sieloff | Clauswitz | Kramer 1971 | Hurley 2007 | Larsen 2009 | Campbell 1999 | Timmons 2009


Distributed Policies

Tension between need for policies that match distribution of collaborations, and policies that are common to help bind them together

Categories: Organisation

Policies & Strategies must also be distributed as they have to sit within, for example, distributed legal frameworks (eg [Golich & Pinelli 1997]). [Lepak 2009] on the other hand is keen to make strategies universal (at least, across the whole army organisation). Relating to granularity then, how ''far'' should a strategy reach, and how does it overlap and interact and feedback with others.

Golich & Pinelli 1997 | Lepak 2009


Distribution Models

Ways to get the assessment outputs out to the next assessors in the network

Categories: Method | Organisation

Other diffusion models: Disease diffusion, and practice diffusion (via [Lenox 2008]), may provide useful models

Lenox 2008


Doctrine

A set of templates to use in similar situations to provide guidance and reduce cognitive load

Categories: Routines

A kind of {routines} or templates possibly {anti:Flexibility} of strategies: [Storr 2009] argues that the British Army did very well without doctrine, and introducing doctrine has reduced its ability to adjust (opposite of agile) and it is still struggling to adjust. {Education}

routines | ANTI:Flexibility | Education

Storr 2009


Double Loop Learning

Assimilation and change of skills & expertise in one loop, and also change of underlying values and assumptions

Categories: Learning | Organization flexibility

Term coined by [Argyris 1976] to represent how learning is not just about the situation under study, but also the practices and {routines} and {Organisation structure} and {Culture} and so on used to approach dealing with it. In particular for problems that are poorly defined, so the approach to the solution might change as the problem is better understood

routines | Organisation structure | Culture

Argyris 1976


Dramatic Weighting

Where some evidence is dramatically outweighed, or dramatically outweighs, other for poor reasons.

Categories:

generated by the market garden validation exercise. Dutch evidence dramatically weighted very low due to {Past Performance}

Past Performance


Dynamic Near-Location

Where colocating everyone is not possible, near-locating people that can be brought in to colocate

Categories:

From the Operation market Garden study


Dynamic Tasks

Where tasks change considerably, method and context and perhaps organisation must be re-fit

Categories: Method | Organisation | Other

Tasks and workflows change rapidly and this has knock on effects on knowledge transfer factors [Sauer et al p2]. Strategies & Policies should be created bearing in this mind, so they do not have to be redeveloped each time the tasks change Although sometimes change of direction require change of strategies - eg HP moving from low volume test instruments to large scale global personal computers [Sieloff] {Anti:Routines} {Anti:Doctrine}

ANTI:Routines | ANTI:Doctrine

Sauer & et al p2 | Sieloff


Echo Chamber

Where a communications bubble has become so small that only already-known content is communicated

Categories: Organisation

A situation that forms {groupthink}

groupthink


Education

Categories: Context

What has already been taught and what can be taught to provide context and theory, as opposed to 'reports of facts' (inspired by [SAS 050])

SAS 50


Einstellung

Categories: Method | Assessment

Where the first thought of solution makes other solutions hard to find. Bilalic, Mcleod & Gobet


Elicitation

Converting Tacit Knowledge to Explicit Knowledge

Categories: Method

Converting {Tacit Knowledge} to {Explicit Knowledge} (see eg [Nonaka 1991]) Also {Interview}s with prisoners, deserters who might be reluctant; cross checking etc to improve {Trustworthiness} of information from sources that are not normally trusted.

Tacit Knowledge | Explicit Knowledge | Interview | Trustworthiness

Nonaka 1991


Emergency

Categories: Social

Emergency override - eg Shorko FIlms (via [Earl]) where people share lifelong accumulated knowledge to save a working community. {Motivation}

Motivation

Earl


Entrenchment

More time can lead to *less* consideration

Categories: Time | Quality

The ability to sit back and take an overview, using experience, rather than just do-ing, does not always result in consistent ''rational'' outcomes. [Rich 2004] describes increasingly loud and inconsistent lobbying across think tanks studying the same subject. {Thinking Too Long}

Thinking Too Long

Rich 2004


Ephemeral

Communications that are deliberately not intended to persist

Categories: Communication

Adding ephemeral information to official information (eg post-it notes) to avoid persistance. (eg Parting Shots Ep 3)# {ANTI:Persistent} A

ANTI:Persistent


Epistemic Bubble

Limitations (sometimes self-imposed) of evidence by restricting access to or ignoring evidence from contradicting data

Categories: Method | Context | Bias

[Woods & Gabby 2005]

Woods & Gabby 2005


Epistemic Uncertainty

Uncertain Ignorance; what we don't know about the situation

Categories: Uncertainty

Introduction by [O'Hagan 2004] Don't know about what's uncertain [Palmer 2010]

O'Hagan 2004 | Palmer 2010


Error

Difference between reality and the data

Categories: Quality

Whether at the measurement or due to mistakes in processing


Evidence Of Lack

Where you have evidence (you have looked and seen nothing) of something not being there

Categories:


Exercise Situation

Artificial Situations used to exercise processes and skills and use for tests and experiments

Categories: Situation

Scenarios and background material that provide an 'exercise true world' to compare 'assessed world' to. Beware [Dekkers] comments that there is no real 'true' world for complex value-laden assessments. {Online Games} for example provides collaboration environments that may be suitable for experiment and study and are cheaper to run and monitor than real world exercises [Bardzell et al 2008] [Savery 2010] . Also dedicated team-work games such as C3Fire and Artemis spaceship bridge

Online Games

Dekkers | Bardzell & et al 2008 | Savery 2010


Expectation Information Quality

User-perceived quality of information in terms of what the target needs

Categories: Information Quality

Expectation Information Quality captures the user-perceived quality of information products in terms of subjective IQ dimensions such as objectivity and believability. Whereas context IQ measures the objective use of information, expectation IQ measures the subjective element of IQ usages. Obviously, the expectation dimension is subjective and can only be evaluated by humans and thus might result in varying outcomes in different IQ assessments. [Ge, Helfert, Jannach 2011]

Ge, Helfert & Jannach 2011


Expectations

Collaborations are more than just who knows what, to coordinate there needs to be some understanding of what needs to be done and who will do it. Expectations are tacit or explicit knowledge that is also useful to share

Categories: Knowledge | Context

Shared Expectations: World of Warcraft players [Bardzell et al 2008] have shared expectations of reasonably well defined roles (tank, healer, etc) that enables fast collaborations between relative strangers {Intent} eg 11 men 1 mind [DePuy 1958] or [Bardzell et al 2008] on online gaming teams Something about {Trustworthiness} to do with vulnerability to expected behaviour...

Intent | Trustworthiness

Bardzell & et al 2008 | DePuy 1958 | Bardzell & et al 2008


Experience

Prior knowledge gained by direct experience

Categories: Prior Knowledge

What has already been experienced - which can be good (correct context) and bad (different context in apparently same one)


Experiments

Categories:


Expert-Paired Decision Makers

Pairing decision makers with experts for combining responsibility with informing independent discussion

Categories: Colocation | Physical Proximity | Liaison | Team Arrangement | Heterogeneity

[Chhabra 2011]''s simulation/model suggests that the cost of providing expertise can result in better aggregate returns, for general markets. Similar with most project management teams that have a lead engineer (responsible for quality & calendar time) paired with the project manager (responsible for money & calendar time) to have the discussions about trade-offs. Military platoon command colocates experienced sergeant with junior officer. Future questions for research: expertise in different areas and the effects [British army doctrine]

Chhabra 2011 | British, army & doctrine


Expertise

Applyable Knowledge?

Categories: Prior Knowledge

[Hinds & Pfeffer 2003] experts tend to have conceptual simplified models that are coherent; continuing failure to do expertise/knowledge transfer (terms are mixed). Problem articulating back to concrete; difficult to find common ground. Difficult to remember back what it was like. Some expertise is codifiable and some is tacit; the codifiable is easier (eg organising pizza cooking) and some less so (hand tossing dough) Intermediate experts are better at explaining [Hinds & Pfeffer 2003]

Hinds & Pfeffer 2003 | Hinds & Pfeffer 2003


Explicit Ignorance

Knowing what you don't know

Categories: Picture

A feature of expertise is that you know the bounds of your knowledge (eg Analects [Confucius] "Real knowledge is to know the extent of your ignorance") Boundaries between {explicit knowledge} and explicit ignorance may be clear {Vroomfondel ambiguity} or may not

explicit knowledge | Vroomfondel ambiguity

Confucius


Explicit Knowledge

Knowledge that can be codified, explained and transmitted

Categories: Picture | Knowledge

Tacit vs explicit knowledge eg [Polanyi 1962]; explicit is codified, transmittable in formal, systematic language, while {NOT:Tacit Knowledge} is hard to formalize and communicate. In practice these are not distinct categotries; tacit knowledge for example can be made explicit by asking the right questions. [Armour] models this is as a level of ignorance Degrees of explicitness; [Sauer 2006] talk about the problems of codifying knowledge (or information...) in ways that they can be compared (Sauer section 3.1) consistently (problems with inconsistent data sets) and appropriately (problems with different kinds of data)

NOT:Tacit Knowledge

Polanyi 1962 | Armour | Sauer 2006


Expression

Externalising the picture into a form for communication, ie converting aspects of the Internal World to an Expressed World

Categories: Knowledge Transfer


Extra-role

Behaviour that is discretionary and contributory; eg contributing to organisation knowledge shares, routing information rather than holding

Categories: Roles | Motivation

Behaviour that is discretionary and contributory; eg contributing to organisation knowledge shares, routing information rather than holding, etc. extra role behaviour [SAS 050] and [Moorman, Niehoff & Organ 1993] {Motivation} common goals, etc

Motivation

SAS 50 | Moorman, Niehoff & Organ 1993


Face 2 Face

Categories: Colocation

Has interesting effects; both introduces non-informatic biases, yet seems to be vital to establish trust. Less worse with than without However, [Dabbish et al 2012] show when looking at GitHub developers (and Bardzell 2008 show in WoW) there are examples of people developing social bonds and interactions through quite limited UI interactions.

Dabbish & et al 2012


Failure causes

What do we already know about which combinations of characteristics work etc?

Categories:

Characteristics that cause failure (eg [Lam 2010]) but bear in mind the wrong characteristics may be identified (eg Hinge factors [Durschied 1999]) {Superstitious Learning} {Causal ambiguity}

Superstitious Learning | Causal ambiguity

Lam 2010 | Durschied 1999


Fake News

Information that is so attractive it is assimilated and included in the picture without checking provenance

Categories: Assessing | Assimilation | Tribal Myth | Social Bubble

Deliberately faked, but also clickbait. Propensity to pass news around that conforms to bias. See also {Tribal Myth}

Tribal Myth


False Feedback Indicators

Categories:

When KPIs are used not only to report performance but as the measures of group performance, then groups and individuals will focus on the easier of modifying the reporting and changing work practice to change the figures. For example, if you want to reduce overheads you might tell people to reduce booking to overhead codes; in which case teams will have incentives to book to sales codes, which is dodgy practice (inflates prices? No because overheads get charge to customers anyway) and doesn't indicate better productivity. Reporting lines now corrupted and not accurate or trustable


Fast Response

Categories:


Filter Bubble

Responding to search results and news feeds affects future search results and news feeds

Categories: Other

Self re-inforcing feedbacks on search filters and news feeds, where preferred items (clicked on) change the way that future searches and news feeds return results. [Pariser 2011]

Pariser 2011


Filters

Categories:


Flexibility

General category for adjusting activity & behaviour to fit with changing environment

Categories:

Adjusting behaviour to fit changing environment [Colman 2003] [Dictionaries] Adjusting work process and/or organisation [Power to the Edge 2003] {Response Time} {Assessment} {Cognitive Flexibility} {Structure Flexibility}

Response Time | Assessment | Cognitive Flexibility | Structure Flexibility

Colman 2003 | Dictionaries | Power, to, the, et al 2003


Flip Flopping

Categories:


Flow

Where information is transferred without change across several nodes

Categories:

Information does not normally 'flow' across intelligent nodes; it is assimilated and transformed


Folkabulary

The language that builds around communities, eg jargon.

Categories:

Inspired by {Folksonomy}. Can act as enablers to the speakers to convey ideas more quickly, and barriers to express those ideas in and out of the folkabulary. Likely to overlap; eg programmers vs managers, in one team vs another team.

Folksonomy


Folksonomy

Community-generated tagging and markup

Categories: Common language

[Common Term]

...


Forced incremental

Categories:

Slow incremental change rather than objective; eg millikan's experiments [ref?]; Conforming 'mostly', fear of radical [Feynam's Cargo Cult address to caltech 1974]

ref? | Feynam's, Cargo, Cult, et al 1974


Forgetting

The inability to recall previously held knowledge or understanding

Categories:

Skill and Expertise Fade applies to both institutions and individuals, as institutions lose individuals with skills to other institutions. Some apply to both, for example in maintaining skills for rarely used activities (such as Nuclear reactors, see "Managing Nuclear Knowledge" [IAEA 2006] "Fast Reactor Knowledge Preservation" [IAEA 2008] and [UKHMG_DECC 2015] {Organisation Memory}

Organisation Memory

IAEA 2006 | IAEA 2008 | UKHMG_DECC 2015


Forgiveness

Categories:

''issues of trust rarely torpedo today''s collaborations. Most collaborators expect and forgive lapses in judgement''????��?���¦'' [EIU 2008]

EIU 2008


Form of Transfer

Categories:

Words don't always work well; see maps and picture and diagrams [Ziman p45]. Pointing, handling and showing [Collins 2001, p72]

Ziman p45 | Collins 2001 p72


Formal Diagrams

Categories:


Formal Language

Categories:

Formal Language is a form of captured knowledge (eg Bray's controlled language [Bray] ) but there are problems here with change once implemented; if you are not knowledgeable about it, then changing it can have unforeseen consequences.

Bray


Formality

Categories:

Affects sharing [Blankenship 2009]

Blankenship 2009


Fraud

Categories:

Deliberately excluded for this study {Quality Assurance}

Quality Assurance


Fusion

The creation of new, often smaller but more informative, data that replaces larger source datasets

Categories: Transformation

{Assessment} {Integration}

Assessment | Integration


Future

Categories:

What next? [Baiget 2009] asks if we are building our values into the automatic systems to a stage where we cannot easily adjust them as they become more powerful. This is a rather liberal political paper, but the question remains interesting.

Baiget 2009


Games

Games make good experimental situations

Categories: Situation

Games as useful places to examine collaborations as the exercise world is known and collaborators are already motivated eg [Savery 2010] [Bardzell et al 2008]

Savery 2010 | Bardzell & et al 2008


Garbage In Garbage Out

Categories:


Geographic Boundaries

Geography and spatial distance matters

Categories: Boundaries

Country & State boundaries (eg [Gobey 2003] ) {Boundaries}

Boundaries

Gobey 2003


Geographic Proximity

Closeness of organisations in physical space, eg co-locating your R&D unit near universities

Categories: Proximity

Geographic proximity can help by improving interactions eg [Townsend] I think, but hinder due to lock in [Boschma 2005]. A higher scale of {Physical Proximity}

Physical Proximity

Townsend | Boschma 2005


Goals

Categories:

Intent and Goals and Objectives as ways of focussing attention and reducing distraction


Good Barriers

Barriers can also reduce interruptions and load on attention, and require more thoughtful communication

Categories: Method | Trust

Some barriers to communication help to reduce clutter. Not all barriers are bad. The quality of the filter is important, to leave few clutter in and not throw away too much useful {Filters} {Barriers}

Filters | Barriers


Gorillas In A Cage

Example of superstitious institutional learning, as both good and bad thing

Categories:


Grading Assurance

Categories:

Admiralty Code, Uncertainty in Assessments [Kent 1964] [Kesselman 2008]

Kent 1964 | Kesselman 2008


Granularity

Categories:


Granularity & Scope

Sizes of groups (social, tribal, incentivised) that communicate well internally but poorly externally

Categories: Organisation structure

(Not quite the right term) Sizes of groups (social, tribal, incentived) that are good at reorganising internally but bad at communicating outside [Szulanski 1996 via Lenox 2008] [Blankenship 2009]. Crossing boarders: Knowledge in new contexts can yield important new insights [Simon 1985] [Lakhani 2007]. Review or broad: [Mclaughlin] talks about reviewing knowledge implementation strategies; so there is a higher level strategy. End to end connectivity: eg Mclaughlin. (opinion from a survey). However compare and contrast with supply chains ("I pencil" [Read 1958]), and on the other other hand, the 'waves' issues in supply chains. Some knowledge connected across some visibility of the supply chain will make it faster, cheaper.

Szulanski 1996 via Lenox 2008 | Blankenship 2009 | Simon 1985 | Lakhani 2007 | Mclaughlin | Read 1958


Group Polarisation

Tendency for groups to polarise positions against other groups even (or especially) when given time to review, draw on experiene, etc

Categories: Community Bias

[Rich 2004] describes increasingly loud and inconsistent lobbying across think tanks studying the same subject despite being able to sit back, take an overview, and draw on considerable experience. Strong and early polarisation that results in highly opposing conclusions from the same data can be seen in many popular debates. [Jaynes 1995 p15] points out that this happens even when individuals are reasoning using probability theory ? ?the logic of science?

Rich 2004 | Jaynes 1995 p15


Group Pressure

The degrees to which team members influence each other

Categories:

Not always social; the degrees to which team members influence each other. Eg too many experts on a particular thing may not get a good answer on another thing


Group Tacit Knowledge

What a group knows that it may not realise it knows

Categories: Tacit Knowledge | Organisation

Particularly around interactions (teams that have worked well). [Erden Kroch & Nonaka 2008] suggests levels or qualities of tacit knowledge in groups (but it works for individuals) starting with Aristotles three: episteme (facts), techne (basic how to use it) phronesis (what best solutions are suitable for what problems) and Improvisation (where the group copes with unexpected events and fast changes) [Szulanski 1996] also talks about the Good {Stickiness} of team tacit knowledge that means that hiring teams complete can be better than hiring particular individuals from it.

Stickiness

Erden, Kroch & Nonaka 2008 | Szulanski 1996


Groupthink

Where a group fails to properly check its own assumptions and reasoning, and social pressures can reduce internal checks

Categories:

Common term, see [Dictionaries] . Groupthink/shared views/consensus: where knowledge distribution is warped by the social pressures of the group, and/or where the group is formed in the first place by the knowledge sets. [Lucas 2006] asserts that the shared views of the group are expressed/an input to the ways they share knowledge. [Meyer 2009] talks about how when knowledge sets are too different it is hard to transfer any, and when they are too similar there is nothing new. [Johnsonin] has some case studies. Is groupthink failures 'worth it' for other benefits? [Storr p117] Related also to {Group Polarisation}

Group Polarisation

Dictionaries | Lucas 2006 | Meyer 2009 | Johnsonin | Storr p117


Gullibility

Tendency to prioritise latest or most available information without skillfully placing in full picture

Categories: Assessing | Bias


Heterogeneity

The mix of team members to reduce biases from groupthink and similar worldviews; how different are the collaborators in views, attitudes and values?

Categories:

{Anti:Bias} Inspired by Collaboration Completeness, see also [Handy 1989] for Homogeneity. NB very much not the same as diversity of appearance, or Physical Diversity, as some articles seem to confuse the two {Heterogeneity}

ANTI:Bias | Heterogeneity

Handy 1989


Heuristics

Quick, intuitive assessments

Categories: Assessing | Assessment

Trained-in rationality requires appropriate training; 'proper' objective thinking takes too long in the volatile, uncertain, complex and ambiguous military environment [Williams 2010] Marked as Impulsivity in [SAS-050], seen as {Anti:rationality}. Based on previous experience either personal or group {Recognition Priming}, so usefulness partly depends on whether current situation is like previous. The "Thinking fast" element of "Thinking Fast and Slow" [Kahneman 2011] suggests that assessing heuristically is faster {Timeliness} but more prone to misleading {Bias}

ANTI:rationality | Recognition Priming | Timeliness | Bias

Williams 2010 | SAS-050 | Kahneman 2011


History

Categories:


Hypothesis Testing

Comparing theory with the real world

Categories:

A key part of the traditional {Scientific Method} ; check your theory against the real world. Lots of issues with this; traditionally the hypothesis is supposed to be formed first, but there is no effective difference between getting the data first and then forming a hypothesis from it, rather than throwing away a hypothesis that is refuted by the data and forming a new hypothesis afterwards. (example with plotting x=2y). See also [Rozeboom 2008]

Scientific Method

Rozeboom 2008


Iconoclastic Sausage

Information that destroys pictures

Categories:

Information that destroys pictures; see also {Surprise} [Salt, conversation]

Surprise

Salt & conversation


Ignorance

The other side of knowledge; ignorance and ignorance of ignorance

Categories:

Knowledge vs Ignorance: knowing or not knowing how to find out what you need to know. What questions to ask.. What ways of finding out what questions to ask . . what to find out - what question to ask - ignorance level 4 [Armour 2000] - eg yes minister s1 e7 solihull project. [Rumsfeld] [Faryumadi]

Armour 2000 | Rumsfeld | Faryumadi


IMIT

Information Management Information Technology

Categories:

Information Technology to support IM with external databases, conversation tracking etc


Immortal Time Error

A particular assessment error where correlation is confused with cause in age and longevity studies

Categories: Assessing

Bishops and Generals live longer than Curates and Corporals, but that's because you need to be older to reach being a Bishop or a General, and young people who are Curates and Corporals become something else when they are older. Originally from [Farr 1885] and more recently [Hanley & Foster 2014] with some ways to avoid it. Possibly related to {Survivor Bias}

Survivor Bias

Farr 1885 | Hanley & Foster 2014


Impulsive

Categories:


Incentives

Distributing knowledge is not free, so there need to be benefits to doing so

Categories: Culture | Motivation

Distributing knowledge is not free (and may cost personal power, etc), there need to be incentives to do so [Lucas & Ogilve 2006], either explicit (recognition, pay, promotion) or social rewards or shared ownership [Barret 2004, Thomas Hunt 2003 via Lucas & Ogilve 2006 p19]. Incentives vital to aligning individual employees with corporate goals [Sherif 1958 via Lucas] as otherwise individuals are likely to revert to habit. Lucas & Ogilve's questionniare results however suggest that incentives have little impact, which may be due to 'lack of motivation' (which is odd, as the lack of motivation is what the incentives are meant to overcome) Also [Szulanski 1996] finds {Stickiness} is down to other things than {Motivation} {Motivation} & Incentives are possibly parts of {culture}.

Stickiness | Motivation | Motivation | culture

Lucas & Ogilve 2006 | Barret, 2004, Thomas, et al 2003 via Lucas & Ogilve 2006 p19 | Sherif 1958 via Lucas | Szulanski 1996


Indirection

A place to find where to find something, rather than the something. This might be several steps.

Categories: Proximity

For example reference sites [Sieloff] which the engineer can go to to find out where to find the details

Sieloff


Induction

Categories:

Unsafe but necessary [Dictionaries]

Dictionaries


Informatic Trust

Categories:


Information

Parent Category of characteristics about the information being communicated

Categories:

Ambiguous term; see eg [Schrader 1983] for a collection of hundreds of definitions categorised in various ways {Communication}

Communication

Schrader 1983


Information Accuracy

Categories:


Information Assurance

Mechanisms such as audit and evidence chains to ensure that data and conclusions match their sources and the given reasoning

Categories: Method

Common (if somewhat ambiguous) term [Dictionaries] In this case applies particularly to {Information Assurance} as a way of ensuring the {Information Quality} of the assessment or fused data. This means that dubious information can be suitably compared with higher quality information. This is not be confused with ensuring high quality which is the drive in commercial manufacturing although similar techniques can be used (see eg [Garvin 1987])

Information Assurance | Information Quality

Dictionaries | Garvin 1987


Information availability Bubble

Categories:

(Combine with collation/collection bias)


Information Commonality

Degree to which information is common to collaborators

Categories: Context

What information can and is shared, what cannot due to language/security/distance/means {Shared (open source etc)}

Shared (open source etc)


Information Conformity

How well the information matches other information and the existing picture

Categories: Information


Information Flow

Categories:

(Candidate characteristic list [Eriksson 2009] ) [But information doesn't flow]

Eriksson 2009 | But, information, doesn't, et al


Information Management

The activity of storing, indexing and finding information

Categories:

Managing the information that informs the picture; organising it so it's easy to reference (diagrams and maps on walls) and reduce memory load {Logging} {Reference}

Logging | Reference


Information Overload

Too much to assimilate; or the fall-off of performance as information receive rates increase past a certain point

Categories:

Various types and effects reviewed and summarised in [Eppler & Mengis 2004], Note that not just the quantity, but qualities of the information affect load, eg complexity, ambiguity that needs to be resolved, the ease of assimilation, surprise (or novelty), uncertainty that needs filled with possibilities, etc. [Sutcliffe et al 2009] also consider other overloading aspects that are beyond just the quantity of data. touched on as a motivation to manage knowledge better by vairous including [Sherehiy & Karwowski 2006] and [Li 2005]. Part of, at times {Cognitive Load} {Attention} {Surprise} {Cognitive Load}

Cognitive Load | Attention | Surprise | Cognitive Load

Eppler & Mengis 2004 | Sutcliffe & et al 2009 | Sherehiy & Karwowski 2006 | Li 2005


Information Quality

Measures of properties of information or fused data that usually indicate how correct it is likely to be

Categories: Quality | Trust

Common (if ambiguous) term; see [Dictionaries], and eg [Wang & Strong 1996] and [Ge, Helfert, Jannach 2011]. Usually made of several measures rather than a single quantity (for example the Admiralty or NATO codes). Useful so that dubious information can be suitably compared with higher quality information. Weak problem solving is associated with specific research conditions, including an ill-structured problem space, unclear or unsystematic steps, and a lack of prior domain knowledge [Simon, Langley and Bradshaw 1981] [Palmer et al 2007]

Dictionaries | Wang & Strong 1996 | Ge, Helfert & Jannach 2011 | Simon, Langley & Bradshaw 1981 | Palmer & et al 2007


Information Quantity

Categories:


Information Recall Availability

How easy it is to find and re-read past information to confirm or otherwise memory recall

Categories:

( inspired by {memory performance})

memory performance


Information Straightforwardness

How easy is the new information to manipulate, assimilate, combine, etc

Categories: Assimilation | Assessing | Information Quality

easy to manipulate, easy to aggregate, easy to combine. Candidate from [Ge, Helfert, Jannach 2011]

Ge, Helfert & Jannach 2011


Information To Noise ratio

Categories:


Information Transfer

Categories:

Language, Grammer, Speach acts: somewhere between the mechanics of information transfer and social expertise collaboration etc, is the human and machine languages used to communicate. Eg Speach acts (/...),Dstl/CP40411 {Mechanics} [DSTL/CP40411]

Mechanics

DSTL/CP40411


Innovation

Combining knowledge from different domains is seen as one way of driving Innovation

Categories:

Really a "side effect" of Knowledge Distribution and {Knowledge Gather}, but nevertheless a {Motivation} for transferring particular but unknown-in-advance knowledge around organisations. Contention between consuming {Attention} and communicating enough so that the right bits of knowledge combine with the right bits of other knowledge.

Knowledge Gather | Motivation | Attention


Inputs

Categories:


Integration

Categories:

How well data can be mapped to other data (eg temperature to temperature, but addresses are harder in places without postcodes, etc) [me. Perhaps quick wins/ competitve hypothesis testing]

me., Perhaps, quick, et al


Integrity

Categories:


Intelligence

Information that is expected to be used for decision making

Categories:

A range of definitions, well summarised by [Breakspear 2012]

Breakspear 2012


Intelligence Cycle

A type of Assessment Cycle developed by the Intelligence Community

Categories: Assessment | Method


Intent

An expectation of activity in the future

Categories: Expectations

Intent as one of the things we need to include in the Knowledge mix (eg Tomasello 2005) [Tomasello 2005] Relationship to tasks, goals: Does knowledge management need to support business strategy (as [Mclaughlin] says), or does it inform business strategy or both. It's not sufficient to assume it is a tool for directives; intelligence and OODA looops suggest they inform each other. Knowledge strategies have to be aligned with what? Business process? {Intent} {Purpose}

Intent | Purpose

Tomasello 2005 | Mclaughlin


Interpretability

Categories:

Interpretable, without inappropriate language and symbol, readable. [Ge, Helfert, Jannach 2011]

Ge, Helfert & Jannach 2011


Interruptions

Categories:

{ANTI:Attention} anti

ANTI:Attention


Interview

Categories:


Introductions

Categories:

Introduction/Overviews: eg Bosch-Sijtsema 2011 et al list five not unusual factors: Team task (complexity, ambiguity, interdepedence), Team Structure (and content: experience, skills, distribution, sub groupings), Work processes (loads, attention distribution, commuication, planning & action processes, etc), Work place (physical, virtual, tools?, social) and context (organisation policies, culture, etx) {Checklists} [Bosch-Sijtsema 2011]

Checklists

Bosch-Sijtsema 2011


Introspection

Categories:

Checking oneself and team for missed good practice, etc ["Self monitoring" from SAS 050]

"Self, monitoring", from, et al 50


Intuitive

Categories:


Invested Reputation

Where people have associated their reputation with a person or activity

Categories:

Reputations may be invested into others; eg when a senior promotes a junior, the senior's reputation is on the line too, so the senior looks for the right information to support the junior [Lucas 2006]?. Similarly reputation might be invested in association: I am of 'these', and you are of 'these', so in order to prevent 'these' from coming into disrepute, I will make sure you have what you need to know.

Lucas 2006


Iterative

A feedback loop that includes updates, checks against reality, new updates, etc.

Categories: Method

{Trojan Mice} {Update Rates} {Loops}

Trojan Mice | Update Rates | Loops


Just in Time

Mechanisms for getting information on demand, rather than being pushed all information

Categories:

Just In Time concepts can refer to access to semi-centralised references to lookup information, rather than being bombarded by continuous uncoordinated change updates (eg [Sieloff] ). Similarly Push and Pull, or {Publish and Subscribe}: eg seeking experts ( [Kwan and Damian 2011] ) Locating and referring to community-wide ('global') documents and people (eg [Liu et al] who look at a very specific solution). {Indirection} in the form of directories rather than dictionaries - finding people who know 'people who know what' rather than 'that' [Earl] Knowing where to look; distributing pointers and references rather than data. Also recommender systems (a kind of push eg [Zhen 2012])

Publish and Subscribe | Indirection

Sieloff | Kwan & Damian 2011 | Liu & et al | Earl | Zhen 2012


Kent vs Kendall

(Need a different term); the contrast between 'objectively' providing assessments 'over the wall', and more closely aligning the analyst and the decision maker to enable understanding and ability to shape

Categories: Organisation structure

eg [Kent 1949] and the review of his book by [Kendall 1949], revisited relatively recently by [Davis 2007]

Kent 1949 | Kendall 1949 | Davis 2007


KM success factors

Categories:

Implies KM metrics. Ahmad, Madhoushi & Yosuf 2011, but does not connect KM to outcomes (so what K is M'd) and facros seem a bit vague


Knowledge

What we are aware of

Categories:

A practical cross-domain definition of "what we believe we know"; that is there may be things we know that are not actually true. Lots of definitions; start with [Jakubik 2007] for a summary

Jakubik 2007


Knowledge Gather

The 'pull' side of Knowledge Distribution where people look for, filter, and gather information

Categories:

For example where military research used to be internal and isolated by security, it now needs to look to the much larger civilian research domains and gather what it needs(see eg [Holland Smith, McOwat, Mark 2011])

Holland, Smith, McOwat, et al 2011


Knowledge Management

Deliberate policies and tehnologies and processes and training and strucutres etc to facilitate knowledge store, archive, transfer and distribution

Categories: Organisation

Deliberate policies and facilities to store information and make it available. To encourage people to share what they know Feedbacks and Recursion: Knowledge management as a means to diffuse process (management practice) that in turn affects knowledge management, see eg [Lenox 2008] Moving {Routines} around organisations. KM can be a way to look at (reframe, examine, maybe adjust) old practices [Sieloff] Knowledge Management Systems arrived only in the last twenty years or so (eg [Alavi, Leidner 1999]). Building deliberate systems to capture and share knowledge that includes information (for codifiable knowledge) but also people (for tacit) Knowledge maps [Sieloff] - who makes them, who maintains them

Routines

Lenox 2008 | Sieloff | Alavi & Leidner 1999 | Sieloff


Knowledge Stickiness

Tendency or otherwise for memory to remain or fade

Categories: Stickiness

Stickiness of knowledge: Reminders, Stories (and Games) and Alternatives [Kozlova 2011] as ways of making knowledge stick. Technology can support memory consistency over a set of interactions by maintaining reference text or documents [Kawash 2011] instant messaging provide a way of ''looking back'' at what happened before [personal conversation with JDOC users]. Forum postings similarly, but may take too long to do to be worthwhile. See also {Stickiness} as a bias, eg {Confirmation bias}; reluctance to change worldview {Surprise}

Stickiness | Confirmation bias | Surprise

Kozlova 2011 | Kawash 2011 | personal, conversation, with, et al


Knowledge Transfer

'Copy' of knowledge from one to one/many sources

Categories:


Knowledge Value

The monetory (or other) value of knowledge that affects how it is stored and distributed

Categories: Knowledge

Knowledge as ''stock'' or assets (eg [Helderman 1999] ) Knowledge is power and political, and this challenges utilitarian distribution policies (see [Ã?Â?gland 2009], or [Davenport & Prusak 2000]). Related is who selects which problems are focussed on in the first place (third loop, fig 2 [Ã?Â?gland 2009]); whose interest is being served, who gains power, who loses [Anand 2002 via Lucas 2006] and [Barret 2004 via Lucas 2006 p21] . [Hinds & Pfeffer 2003] rate this as a disincentive to share, esp to those 'outside' the team. Status mitigates/reverses this [Blau 1955 via Hinds & Pfeffer 2003] Organisations should 'hire nice people and treat them nicely' [Davenport and Prusak 2000 via Hinds & Pfeffer 2003] in order to reduce over-competition.

Helderman 1999 | Ã?Â?gland 2009 | Davenport & Prusak 2000 | Ã?Â?gland 2009 | Anand 2002 via Lucas 2006 | Barret 2004 via Lucas 2006 p21 | Hinds & Pfeffer 2003 | Blau 1955 via Hinds & Pfeffer 2003 | Davenport & Prusak 2000 via Hinds & Pfeffer 2003


Language

Categories:

Degrees of difference: Jargon vs different lingos. Awareness of difference (eg American, British)


Latch effects

Categories:

A range here '' the difficulties in fixing after the distribution. See eg Allison Tragedy of Errors trying to correct stats mistakes


Latency

The delay between send and receive

Categories:

See eg Latency and the Quest of Interactivity [Cheshire 1996].

Cheshire 1996


Learning

Categories:


Learning By Doing

Learning by doing work or games rather than just listening or reading

Categories:

"Learning and relearning from work '' eg [Kozlova 2011] (methods for looking at histories of decision processes). Learning by Doing [Nelson & Clark 1994 via Ciborra et al 1996] [Williamson 1975 via Ciborra et al 1996] See also {Rich Pictures} as a way of working through the problem to gain understanding, rather than passive listening.

Rich Pictures

Kozlova 2011 | Nelson & Clark 1994 via Ciborra & et al 1996 | Williamson 1975 via Ciborra & et al 1996


Learning Disabilites

Barriers to learning from mistakes

Categories: Barriers

term suggested by [Senge 1990] who suggested 7 barriers to learning: 1 ? I am my position 2 ? The enemy is out there 3 ? The illusion of taking charge 4 ? The fixation on events 5 ? The parable of the boiled frog 6 ? The delusion of learning from experience 7 ? The myth of the management team

Senge 1990


Learning from Failures

Categories:

Failures to routine and effectively and efficiently transfer knowledge ''despite it being critical'' (Gupta & Govindarajan 2000 p473) [Gupta & Govindarajan 2000]

Gupta & Govindarajan 2000


Legal Barriers

Laws and Regulations can add barriers as well as reduce them

Categories: Barriers

Illegality adds a barrier (eg Aked's investigation into darknets) and legal requirements (eg privacy, data protection act UK)


Lessons Learned

Capturing mistakes and how to correct mistakes for the next similar project

Categories:

When it goes wrong: What can we learn from failures to routine or effectively/ efficiently transfer knowledge ''despite it being critical'' [Gupta & Govindarajan 2000 p473] and see alo eg [Oluikpe 2012]. Beware that too narrow a view of fixing problems can lead to other problems the next time around and so {Flip Flopping} between methods as lessons are unlearned. Also as [senge 1990] there are {Learning Disabilites} barriers to learning

Flip Flopping | Learning Disabilites

Gupta & Govindarajan 2000 p473 | Oluikpe 2012 | senge 1990


Leveller

delete - see levelling

Categories:

(SAS 050) where attitudes and desires cause people to ignore/downplay key elements of discord/contradiction puzzles. [SAS 050]

SAS 50


Levelling

Tendency to simplify a picture and remove irregularities, unusualness. Reverse is to overly sharpen and accentuate these against the normal

Categories: Bias

Common term, see eg Penguin Dictionary of Psychology [Reber 1995] {Simplifying} {Situation Complexity} Where attitudes and desires cause people to ignore/downplay key elements of discord/contradiction puzzles. [SAS 050]

Simplifying | Situation Complexity

Reber 1995 | SAS 50


Liaison

Relationships between people in different teams

Categories: Boundary Spanner

Liaison groups '' ie groups tasked with managing links to other organisations (eg [Ciborra 1996] British Army Doctrine) . Working groups across boundaries that focus on particular tasks/knowledge areas/projects.British Army doctrine places air force communication operators 'forward' where they can talk to jet pilots in their language while viewing the situation in the army's context and intent {ANTI:barriers} In business eg [Bosch, Volberda & Boer 1999] cross-functional relationships that provide knowledge transfer routes without requiring re-structuring {Organisation Structure}

ANTI:barriers | Organisation Structure

Ciborra 1996 | Bosch, Volberda & Boer 1999


Licensing

Categories:


Limits

Categories:

Are increasing complexity of tasks demanding better KM, or is better KM allowing more complex tasks. "What are we still doing wrong?" Lucas, Ogilve 2006 [Lucas, Ogilva 2006]

Lucas & Ogilva 2006


Local Trust

Categories:

Trust does not need to be universal. Rodriguez (2007) examines how people self-organise to connect better to people they trust, creating clusters of trusting sub-communities. McNair (2010) sees trust develop between those develop participant language skills {Cliques} [Rodriguez 2007] [ McNair 2010]

Cliques

Rodriguez 2007 | McNair 2010


Location of Knowledge

Where is the knowledge according to the proximity dimesions, eg physically, communicationally, socially, etc

Categories: Organisation | Knowledge

Where does the knowledge sit? [Malhotra 2001 via Sherehiy & Karwowski 2006]: 26% paper, 20% digital form, 42% employee''s minds (does it count if it''s on paper? Malhotra reference does not contain further references to sources) or [Edvison & Malone via Sherehiy & Karwowski 2006] Individual, structural and organizational knowledge. Also ''stereotyped'' (for a s/w engineer...) Virtual Knowledge Bases (sets of information databases of facts served up through different UIs and processing), eg DSTL/CP40411 [Bray, Simon 2010]

Malhotra 2001 via Sherehiy & Karwowski 2006 | Edvison & Malone via Sherehiy & Karwowski 2006 | Bray & Simon 2010


Logging

Categories:


Long screwdriver

The tendency to fiddle directly with operations far away

Categories:

The combination of ?mission command? and the 'long telescope' has already been given as a way of reducing the need for communication. The ?long telescope? is not entirely welcome as it tempts senior commanders to push aside the principles of mission command and apply a 'long screwdriver' to fiddle with detail at the low level, disrupting activities there and distracting the commander from other tasks. Even the {long telescope} itself can be disruptive if it requires the observed to spend attention describing the situation, as given in many places, eg [Kramer 1971], [Hurley 2007], [Larsen 2009], [Campbell 1999]. and expressed by Moltke via [Creveld] as ?No commander is less fortunate than he who operates with a telegraph wire stuck in his back? Not strictly speaking knowledge transfer problem, but one that drives need for more

long telescope

Kramer 1971 | Hurley 2007 | Larsen 2009 | Campbell 1999 | Creveld


Loops

Categories:


Lost Vital Picturelet

Categories:


Managing Wicked Complexity

Methods and techniques for handling complex assessments

Categories:

Externalising (diagrams, lists), systematic checklists, compartmentalising (systems thinking) and distributing the problem


Mandate Redundancy

Where more than one (ie redundant) assessment teams vote on a hypothesis, where any one vote by any one team for t it means the group accepts it.

Categories:

See [Heiman] who called this a 'parallel model' (as in logic gates). This increases the chance of Type I errors (accepting a hypothesis that is false) but reduces the chance of Type II errors (rejecting a hypothesis that is true). See also the opposite: {Veto Redundancy}

Veto Redundancy

Heiman


Matrix

Categories:

Communities of Practice / Matrix Management : ways to deliberately build connections along lines of expertise as well as along task hierarchies, to distribute technical/context knowledge. Successful? Eg Oluikpe 2012 [Oluikpe 2012]

Oluikpe 2012


Measuring effectiveness

Categories:

Confirming knowledge transfer, and evaluating the effectiveness of knowledge transfer mechanisms, is commonly done by paraphrasing, exercises, and before and after tests, whether by informal quick checks or formal exams (see for example Kirkpatrick''s Four Levels 2005, or Laird''s ''Approaches to training and development'' 2003) [Kirkpatrick 2005, Laird 2003]

Kirkpatrick, 2005 & Laird 2003


Mechanics

Categories:


Memory Performance

The ability, or otherwise, to recall accurately and quickly.

Categories:

Situation Awareness for example can be corrupted by mis-remembering reports or the salient elements of it them, or the order in which they arrive, or the Availability of events that are more clearly remembered than others. Mitigate by having reports readily available for re-reading, using common reference material. Common term well researched, see eg "Dictionary of Psychology" [Colan 2003]

Colan 2003


Mentoring

Categories:

See eg an evaluation oof KM tools (De Long 2004 via [de Long]

de & Long


Meta-knowledge

Categories:

Meta-knowledge/Ontologies '' information about information as ways to inform the structure and distribution of knowledge (eg Nevo) [Nevo]

Nevo


Metadata

Data that describes some quality of property of situation data; for example the NATO code on confidence, the reporting chain, etc.

Categories: Quality | Time | Method

Metadata include markers to track {Provenance assurance} and enable other {Information Quality} processes It takes effort to assess metadata, eg confidence, and this consumes {attention} (from anecdotal reports from Int Corps tour)

Provenance assurance | Information Quality | attention


Method

Processes, techniques and activities used to assess and distribute knowledge

Categories:

Top level catalogue category.


Mindfulness

Categories:

Keeping in mind a variety of factors is hard, and some will tend to slip down the priority list (eg health and safety). So have to keep reminding people to keep bringing it nearer to the forefront {Priority} {Attention} [Conversation with Stewart]

Priority | Attention

Conversation, with & Stewart


Mis-reporting

Mistakes in reporting eg due to haste, fatigue, environment conditions

Categories:


Mitigating Remoteness

Categories:


Model Structure Uncertainty

Categories:

What influences what and how much {Uncertainty} {Trust} [Palmer 2010]

Uncertainty | Trust

Palmer 2010


Modularisation

Dividing up the tasks that knowledge is required for to allow specialisation of knowledge in teams

Categories:

Where the tasks/assessments can be sensible compartmentalised (often software) eg [Grunwald & Kieser, 2007 via Kieser & Koch 2008], but some systems don't compartmentalise well as the interdepencies are large and deep (eg new car design)

Grunwald & Kieser 2007 via Kieser & Koch 2008


Monitoring

Categories:

Monitoring the performance/outcomes of the strategies: eg Hutchinson describes the Dissemination Analysis Group [Hutchinson] Can extend this to be a way of showing participants how the strategies & policies have affected knowledge transfer (eg Annosi et al 2008) {Information Assurance} [Hutchinson Annosi et al 2008]

Information Assurance

Hutchinson | Hutchinson Annosi & et al 2008


Monte Carlo

Categories:

Monte carlo as a way of deriving uncertainty in outputs from uncertainties in the model


Motivation

The drives to spend extra or less effort than routine work to share knowledge

Categories: Organisation | Social

General purpose (common/individual) desires to complete goals [Dictionaries] See eg [EIU 2016] survey of companies, where 'collaboration' is associated with performance. Introduction to [Erden Krogh & Nonaka 2008] makes many referenced assertions about creating knowledge being very important, and this isonly done by sharing knowledge

Dictionaries | EIU 2016 | Erden, Krogh & Nonaka 2008


Motivation Barriers

Where incentives work against communication

Categories: Barriers

eg [Hinds & Pfeffer 2003]

Hinds & Pfeffer 2003


Motivation to Share

Drive to commit more or less effort than routine to sharing knowledge

Categories: Social | Context

Motivation & Incentives:Costs vs benefits of transferring knowledge (Lucas 2006 p20) can lead to barriers if costs seen as too high compared to benefits (not surprising). ''Identity'' is closely linked to willingness to be associated with activities (Albert & Whetten 1985 via Lucas)) Academia in commerce: the bindings of academia as distinctly different communities from commerce, and the way they interact, eg Zaharia (entrepneural university). And vice versa: HP colocating offices near cities with academic institutions (Sieloff) ie motivations to interact and overcome natural barriers. 'Emergency overrride' - eg Shorko FIlms (via Earl) where people share lifelong accumulated knowledge to save a working community. Contrary to Knowledge is Power, Knowledge Sharing can improve Job Satisfaction (status etc) see Kianto, Vanhala & Heilmann 2016 Cooperating for the sake of it: [Bardzell et al] (online gaming) suggest that people are motivated by the opportunity just to cooperate. [Albert & Whetten 1985 via Lucas] [ Sieloff] [ Earl] Motivation to share to improve performance: Why do we collaborate? [Meyer 2009] asserts that people in groups 'can' outperform the same number of individuals, but we need to be careful about what the performance measure is. [Brooks] in ''The mythical man months'' makes some very convincing cases that more people can reduce performance. There are overheads in collaboration that include sharing knowledge that is not required in individuals; the performance measure is calendar time, not overall effort (ie, if 1 person takes a year to produce something, 2 people may take 9 months, which is less efficient but still completes earlier). At the Group level, [Erden Krogh & Nonaka 2008] consider that group sharing provides 'collective improvisation' which allows groups to respond to - and create - new situations.

Bardzell & et al | Albert & Whetten 1985 via Lucas | Sieloff | Earl | Meyer 2009 | Brooks | Erden, Krogh & Nonaka 2008


Motivation to study

Why do we study knowledge distribution?

Categories:

Is there a gap? What are we not doing right yet? Why do we care? [US Dept Labour 2000 via Sherehiy & Karwowski 2006] '' information overload & chaos, information congestion, workforce leaving with expertise (3 years average)", competition (predict changes), ' refers to [Serban & Luan]. 'Not got it right yet' assumed at start [Lucas 2006] {Value}

Value

US, Dept & Labour 2000 via Sherehiy & Karwowski 2006 | Serban & Luan | Lucas 2006


Natural Boundaries

Existing 'edges' to groups that make suitable organisation structures for allocating tasks (eg colocated teams, teams with similar backgrounds, languages, etc)

Categories: Social | Other | Organisation

When compartmentalising tasks make use of existing social boundaries and identities (eg Reisch 2010). Break tasks into mostly self-contained colocated units - HP approach, Sieloff, ensuring that Knowledge Distribution is easy where it needs to be, and the low level information exchange constraints are mapped by changing the organisation into cells that reflect these. But this fosters small-scale thinking. (Sieloff) {Boundaries} {Granularity} {Scope}

Boundaries | Granularity | Scope


Need Tension

Categories:

The incentives to connect, the priorities given to urgent requests and needs to share [(derived)]

(derived)


Negative Transfer

Where the transferred knowledge is not appropriate to the new environment

Categories:

Where the transferred knowledge is not appropriate to the new environment (Singley & Anderson via Hinds & Pfeffer 2003) so the cost outweighs the benefit, or worse where it seems to be appropriate and so is used for an inappropriate circumstance. A valid call for {Not invented here}

Not invented here


Neglected Vital Differences

The differences between this context and another that are not seen (so it looks the same) but are vital to understanding it

Categories: Context

This could do with a different term, highlighting the apparent similarity ("Seems Similar")


Network assurance

Categories:

[Dictionaries] assuring transfer of information/data over networks {Reliability} {Predictability} [Understanding Information Age Warfare]

Reliability | Predictability

Dictionaries | Understanding, Information, Age, et al


Network Contributions

Categories:


Network Reach

Categories:

How easy is it to find and reach people


No Shared Consciousness

Categories:

''If only HP knew what HP knows'' [Dvaenport 1993]; we are not a shared collective.

Dvaenport 1993


Node Activities

Categories:


Not invented here

Categories:

Problems with moving processes etc to a new environment (Hinds & Pfeffer 2003), possibly also something about not understanding the process (me) {Negative Transfer}

Negative Transfer


objective

Categories:


Objectivity

Categories:

impartial, unbiased, objective, based on facts. (4 items)


Observability

The extent to which the situation can be observed and assimilated

Categories: Situation | Assimilation | Observation

Not having the opportunity to observe the world; being in the wrong place, being asleep, not having the right equipment


Observation

Parent category for directly assimilating the situation

Categories:

{Assimilation} of the {Situation} See also {Observation completeness}

Assimilation | Situation | Observation completeness


Observation Completeness

How well the event was observed and recorded

Categories:

Ensuring observers are trained to record the right details to the right level (eg SCRIM) Training in measuring (sciences) and observing (military) and recording correctly


Obvious

Categories:

Obvious acquisition, eg Beer (''we were doing that way any way'') and eg Micklethwaite and Wooldridge 1996 ''What of the third, more substantial charge: that most of what the gurus say is blindingly obvious? Some things that strike us nowadays as blindingly obvious were anything but when far-sighted management theorists began to talk about them. Besides, there is nothing inherently wrong with stating the obvious. One argument for hiring management consultants is that they can see what insiders can't.'' [Beer] [ Micklethwaite & Woolridge 1996]

Beer | Micklethwaite & Woolridge 1996


Online Games

Categories:


OODA Loop

Categories:


Openness

Categories:


Order of Assimilation

The order in which information arrives affects assimilation and assessment

Categories: Bias | Assessment

Order of finding stuff out eg [Patrick, Bott et al] affects judgement

Patrick, Bott & et al


Organisation

The way the people are arranged and related.

Categories:

Top level catalogue category. A collection of people with {Proximity} dimensions

Proximity


Organisation Memory

Knowledge captured as process, arrangements, habits, culture, authorisations, etc

Categories: Organisation

{Routines} etc

Routines


Organisation Redundancy

Overlapping of information, activities and responsibilities

Categories:

Seen as a waste to be reduced by most western companies (still!), [Nonaka & Takeuchi 1995] recommend it as a way of ensuring tacit knowledge etc can be passed over boundaries - a 'common cognitive ground' - and so encourage {innovation}. Also {Competition} between teams working on the same project encourages different viewpoints and vigorous debate. So a kind of organised {Boundary Spanner} or systematic {Liaison}

innovation | Competition | Boundary Spanner | Liaison

Nonaka & Takeuchi 1995


Organisation structure

The ways that authorisation and information move around an organisation

Categories: Collaboration Arrangements | Granularity & Scope

Review & Summary by eg [Volberda 1999] "Building the flexible firm"; for example [Bosch, Volberda & Boer 1999] heirarchical (efficient at established tasks, not {Organization flexibility}, Divisional (with flatter heirarchies and more delegation) and Matrix (which looks like a 'pool' of experts assembled for tasks, very flexible but inefficient as no established routines or relationships). Importance of {Liaison} to cut across functional barriers without requiring re-organisations. [Burton & Obel 2004] list a number of differnt 'basic configurations' p46 but I think it's normally more complex than that (even if that's the intent of the orgnaisation) Organisations may be considered to have 'edges', and therefore {Boundaries}, although in some cases internal barriers might be greater than some external ones (partnerships with other organisations will lead to closer ties than across to other parts of the organisation) Includes physical, social, cultural and technical connections. Organisations may be suborganisations of other organisations. See [Blankenship 2009] for example table. See eg [Tang, Mu, MacLachlan 2010] for simulations on two different heirarchies and how they affect {Knowledge Transfer}

Organization flexibility | Liaison | Boundaries | Knowledge Transfer

Volberda 1999 | Bosch, Volberda & Boer 1999 | Burton & Obel 2004 | Blankenship 2009 | Tang, Mu & MacLachlan 2010


Organization flexibility

Ability of organisations to re-arrange structures, habits, culture, etc according to circumstances and innovation

Categories: Organisation | Flexibility

Note that organisation flexibility might require training rigidity; the British Army can assemble a 'golf bag' of teams with different expertise as they have, in principle, common training procedures and language and so on.


Organizational Learning

The various ways an organisation can 'learn' - although no organisation knows stuff by itself

Categories: Organisation | Organisation Memory | Group Tacit Knowledge

Organisation's knowledge is only the knowledge of its staff, and not all its staff know what the other staff know. An organisation may 'learn' therefore by either having some staff learn (either from other staff, or from external sources), or by acquring staff who already know. Summarised in eg [Levitt & March 1988]. See also Herbert [Simon 1989] who talks about elements of organisations that might learn through doing and motivated acquiring - eg university research labs - and so act as 'intelligence' units for relevant knowledge outside the organisation. {Organisation Memory} includes things like {Routines}, which are in the heads of people but new people learn by imitation rather than understanding. The lifetime of the Routine in the oganisation can be independent of the lifetime of the people using it. {Lessons Learned} are often recorded but less often retrieved - a problem with {Attention} and understanding which of the many lessons learned to consult. [eg Levitt & March 1988] Internal mechanisms for diffusion modelled on diseases (!) from Levitt & March 1988 again

Organisation Memory | Routines | Lessons Learned | Attention

Levitt & March 1988 | Simon 1989 | eg, Levitt & March 1988


Ostensive Knowledge

Categories:

Words, diagrams and photographs cannot convey information that can be understood by direct pointing, or demonstrating, or feeling [Collins 2001]

Collins 2001


Other

Miscellanous category for characteristics that do not comfortably fit in any of these catagories

Categories:


Othering

Extent to which those outside the immediate team are seen as very different, usually derogatorily so

Categories: Social

[Common Term] {Social}

Social

...


Outcome Feedback

Categories:

Storr argues that outcomes are ''emergent'' rather than mechanically predictive, and so hard to pin down (p117) [Storr 2009]

Storr 2009


Participation

Categories:

Participation may be a better model than ''transfer'' so that the users are ''active problem-solvers and construct their own knowledge, rather than passive receptacles''. (eg Hutchinson). ''...a shift in the knowledge use literature from a rational or "imperativist" perspective to a more conflict-theoretic and constructivist perspective (Dunn and Holzner, 1988; Huberman, 1990)... What about Cranfield's work for Commanders to participate rather than passively listen? [Hilton, Dodds] [Hutchinson] [ Dunn and Holzner 1998] [ Huberman 1990] [ Dodds/Hilton?]

Hilton & Dodds | Hutchinson | Dunn & Holzner 1998 | Huberman 1990 | Dodds/Hilton?


Past Performance

Categories:


Pattern of Life

Categories:

Mil term for regular events or arrangements of things in time and space


Patterns of Interaction

Categories:

Planning interactions, etc [eg SAS 050 Patterns of Interaction]

eg, SAS, 050, et al


Paywalls

The requirement to pay money to access information or papers

Categories: Barriers

A small but often sufficiently strong {barriers} to accessing data, news articles, academic papers etc. Knock on effects; if you cite data or a paper and the reader can't access it, what does this mean for audit? Eg urbanisation paper [Jones, Wang et al 1990]; has this made the case watertight or not? It's in nature. What does that tell us?

barriers

Jones, Wang & et al 1990


Peer Review

Categories:

Distinguish between peer review in the abstract, and the term used for formal academic discourse {Validation} {Quality Assurance}

Validation | Quality Assurance


Persistance

How long the information remains available over time

Categories: Information Transfer

Voice communication for example is {Ephemeral}, IM is more persistent, more so etc. Archiving practice and references are relevant to allow persistent material to remain {Information Recall Availability}; academic journals and citation methods provide ready methods for long persistance, whereas some archives are essentially lost even though they exist.

Ephemeral | Information Recall Availability


Personal Bias

Categories:

[(General)]

(General)


Persuasion

Categories:

{Trojan Mice}

Trojan Mice


Physical design

Categories:

The design of buildings for teams that are near-located to encourage contact (Fitzpatrick 1998) [Fitzpatrick 1998]

Fitzpatrick 1998


Physical Proximity

How close the source and targets are in time and space

Categories: Proximity

eg desks next to each other, office down the corridor, different floor, etc


Picture

The Internal World representation of the External World; the Awareness of the Situation

Categories:

Broad category to capture aspects of what is Known


Picture Ambiguity

Number and range of scenarios that fit with the given information at a particular time

Categories: Quality

Dictionary. Equivocality from SAS 050


Picture Currency

Categories:

How close is the current understanding to the real world (related to information currency etc)


Picture Sensitivity

How sensitive is the picture (the knowledge of the situation) to mistakes in reasoning or information?

Categories:

How many things must go wrong for a failure to occur? (see eg 'Tragedy of errors' [Srikanth 2016] where several things had to go wrong for the final failure to occur, any one of a number could/should have gone right to avoid it)

Srikanth 2016


Pin-hole of language

The limitations of language to convey the complexity of what we know

Categories: Language

{tacit knowledge}

tacit knowledge


Planning

Categories:


Planning Churn

The tendency for new information to change the plan, so that the plan is disrupted.

Categories:

At the extreme form, the plan can never settle as the new information keeps changing it. Later information tends to disrupt more than earlier information. From Market Garden exercise


Planning is not the plan

Categories:

Thorough planning, but no plan survives contact [(Conclusion)]

(Conclusion)


Planning KM

Categories:

What next? Future Baiget 2009 asks if we are building our values into the automatic systems to a stage where we cannot easily adjust them as they become more powerful. Poitical paper, further work [Baiget 2009]

Baiget 2009


Poisoned Term

A term that has become strongly associated with negative connotations in certain communinities and cannot then be used for much else

Categories:

. For example {Alternative Fact}, ''Conspiracy Theory'', or ''Skeptical'' in academic climate science. {Sound bites}

Alternative Fact | Sound bites


Political Correctness

Shaping information to fit popular or superior's sentiments

Categories:

Shaping information phrasing etc to fit popular or superior sentiment. Contrast with Speaking Truth To Power.


Politics

Categories:

(Candidate characteristc list Eriksson 2009) [Eriksson 2009]

Eriksson 2009


Power sensitive to reputation

Categories:

Power is related to reputation; the effect of publishing on reputation ( ''your name, your brand'' Itellipedia, EIU 2008) may cause either reluctance or enthusiasm to publish, and will probably affect the care and time taken in doing so. [EIU 2008]

EIU 2008


Power to the edge

Categories:

A type of mission command (eg Alberts 2003)


Precision

The detail (eg decimal points, subcategories) that the measurement can reach; the spread of several measurements. how fine grained the categories a qualitative one can be described

Categories:

Defined in [AQA 2008] and as ?Precision under repeatability conditions? [ISO 5725]. ?the similarity or consistency between measurement results? [Weiner 2007] Also Variability in statistics Also referred to as Repeatability: returning similar results when measuring similar things [JCGM 2008] [NDT-AEPU]. Sometimes referred to as Reliability [Sechrest 1984] Should be set in context of Value Validity, Resolution and rates of change. Membership of an association can be reported to the nearest individual, but people join and leave every day [Sechrest 1984] Note that you can be very precise within a certain resolution (eg pixels in a camera image)

AQA 2008 | ISO 5725 | Weiner 2007 | JCGM 2008 | NDT-AEPU | Sechrest 1984 | Sechrest 1984


predicability

Categories:


Predicition & Failure Monitoring

Categories:

? who did performance monitoring and incentives (betting on actual outcomes by many people '' wisdom of crowds)


Predictability

Categories:


Predictabily

Categories:

Dodgy term re how likely a situation is likely to unfold in a way that can be forseen (ie by existing fact and theory with possibly derived theory)


Prediction

Categories:


Prejudice

Categories:


Presentation

Categories:

Presentation as a means to reduce overload and clutter: Not just the amount but the arrangement/form of information as a means to communicate (see eg Tufte) [Tufte]

Tufte


Priming & Bias

Categories:


Prior Knowledge

What is already known that helps or hinders transfer

Categories:

Data that is less surprising is easier to assimilate. {Absorptive capacity} is determined by the stock of prior related knowledge and its distribution across, and flow between, subsidiaries [Cohen and Levinthal 1990], [Van den Bosch, Volberda, and de Boer 1999]; [Lenox and King 2004]. The speed and reliability of {Knowledge Transfer} is heavily influenced by the knowledge sets of sender {Expression} and receiver {Assimilation} [Mowery, Oxley and Silverman 1996]; [Ahuja and Katila 2001]; [Meyer 2009]. When they are very different, the lack of common context makes the communication more difficult and less reliable, and when they are very similar ''little learning occurs when two agents become so closely aligned in their knowledge sets that their knowledge (transfer) becomes redundant'' which is almost entirely unsurprising. Beware also of How much the prior knowledge is not relevant but appears to be so.

Absorptive capacity | Knowledge Transfer | Expression | Assimilation

Cohen & Levinthal 1990 | Van, den, Bosch, et al 1999 | Lenox & King 2004 | Mowery, Oxley & Silverman 1996 | Ahuja & Katila 2001 | Meyer 2009


Prior Knowledge Swarm

The ability to co-ordinate without communication by using trained-in knowledge

Categories:

Raised by the Market Garden case study


Priority

Categories:


Privacy

Categories:

Need to compartmentalise some knowledge (eg data protection act)


Process and Plan

it's not the product it's the plan

Categories:

Planning is key to success, but no plan survives contact with the enemy {anti-Product}

anti-Product


Process is knowledge

Categories:

Establishing process instead of expertise; following process is easier than explaining sufficient expertise to carry out the process with knowledge (eg Matsuo, Easterby-Smith 2008)


Process Stickiness

Categories: Stickiness

Stickiness of processes etc; Hutchinson describes various attempts to direct teaching practices as education went through a series of reforms in the 50s onwards, including various forms of written materials, road shows, embedding etc. New methods would get watered down into the old ways of doing things. Was not immediately obvious if that was because the new methods were not appropriate to the local conditions, or the local practitioners could not/would not adapt. Beer: new ones might *be* the old ones with a new label [Hutchinson] [ Beer]

Hutchinson | Beer


Processes

Categories:

(Candidate characteristc list Eriksson 2009) [Eriksson 2009]

Eriksson 2009


Progressive Disclosure of Information

Categories:

Providing only what's needed, delving in as required [eg Kloprogge 2007]

eg & Kloprogge 2007


Provenance and PathMarkers

Categories:

Where did it come from, by what means was it reported. Reduces data incest


Provenance Assurance

Categories: Trust | Quality Assurance


Proxies and Markers

Categories:

Responsibility and Accountability as markers for trust. That is, the material itself has no trust indicator, but the authors are held accoubtable/responsible for it. Similarly open data and open code may not be investigated, but being open is a ''better'' marker than being hidden.


Proximity

Category of various kinds of 'distance' between people and clusters of people

Categories: Organisation | Collaboration Arrangements

One of the key characteristics of how people and systems are arranged in an organisation or collaboration. [Boschma 2005] suggests five dimensions of proximity: cognition, organisation, social, institute, geography. He says too much or too little is bad for innovation, but seems to lump too many things into each. In any case it seems likely there are {Sweet Spots} in combinations of proximities.

Sweet Spots

Boschma 2005


Proximity Flexibility

How easy it is to change proximities to adapt to situations

Categories:

eg moving team members to colocate teams, or frequency of meetings, or 'bed in' teams to reduce social distances, etc


Proxy for trust

Categories:


Publish and subscribe

Categories:

Indirection: directories rather than dictionaries - finding who knows people who know, or what or where, rather than 'that' [Earl] eg seeking experts [Kwan and Damian, 2011] Locating and referring to community-wide ('global') documents and people (eg [Liu et al] who look at a very specific solution) without telling all that is known

Earl | Kwan & Damian 2011 | Liu & et al


Punishment As Barrier

Where punishments discourage communication

Categories:

[McConnell 1987] p108 cites an anonymous letter signed ?Apocalypse? that describes an autocratic rule at Marshall, where those responsible for a component reported on that component?s condition. Where it was not yet ready, or suffered a failure, they were punished. This meant, understandably, that people were reluctant to admit faults or their full scale. In practice, reporting by the test team should be independent from those responsible for passing the tests, but as described above the Reliability & Quality Assurance teams had been considerably reduced. Similarly, accidental damage was being punished and this means that damage was less likely to be reported. After the accident, says [McConnell 1987] p211, it was discovered that a technician had improperly used the umbilical fuel valve between fuel tank and orbiter, which could have had catastrophic results, without reporting it.

McConnell 1987 | McConnell 1987


Purpose

Categories:


Quality

Indicators of how 'good' the knowledge is

Categories: Trust

A "Quality" is a description of the 'goodness' of information (in this case); it does not mean that the information is good. Quality Assurance is a way of ensuring that the information is of a certain level of goodness. {Quality Assurance}

Quality Assurance


Quality Assurance

Activities and measures to define, specify and record qualities of data/information

Categories: Data Quality | Information Quality | Trust

[Common Term] {Metadata}

Metadata

...


Quantifiable Uncertainty

Categories:

Can put numbers to it {Uncertainty} {Trust} [Palmer 2010]

Uncertainty | Trust

Palmer 2010


Ranges of Uncertainty

Categories:

Informign policy makers so they can make policies that are adjustable, encapsulated by the ranges {Uncertainty} {Trust} [Palmer 2010]

Uncertainty | Trust

Palmer 2010


Rationality

A scale with an ideal 'rational' at one end, where reasoning is applied to evidence to gain objectively 'correct' conclusions.

Categories:

(Candidate characteristic list [Eriksson 2009]) Better decisions by considering all options {ANTI:Heuristics} {ANTI:Timeliness}

ANTI:Heuristics | ANTI:Timeliness

Eriksson 2009


Re-adjusting

Categories:


Readability

Categories:

Readability reduces cognitive load, so leaving more for the problem. There are more than 40 readability tests, and their reliability at various grade-reading levels differs, as do their underlying readability formulas. See eg ''????��?���¢ SMOG (the Simplified Measure of Gobbledygook test) McLaughlin 1969 ''????��?���¢ The Fry Readability Test (Fry 1968) ''????��?���¢ The Flesch Reading Ease Test ''????��?���¢ The Lexile'????��?���® Framework for Reading * The Flesch-Kincaid Readability Test (incorporated in to MS Word) {Assimilation} [Brewer 2011]

Assimilation

Brewer 2011


Ready Acceptance

Categories:

Also in reducing communication needs (acceptability without full audit, for example). Different skills and knowledge to be integrated into a task; so people can''t check other knowledge against their own [Newell 2007], except where it overlaps. {Trust} [Newell 2007]

Trust

Newell 2007 | Newell 2007


Real World Feedback

What consequences of actions are visible in the real world to inform the next assessment

Categories: Method

This is the 'other' side of the decision step, which is not explicitly studied, but there are important features of how knowledge is aquired and confirmed that require interaction with the real world. Possibly the only 'scientific' element of the {Scientific Method} is the 'test against the real world' step. OODA loop [Boyde], int cycle [QwfBA], etc. See eg also Napolean Bonaparte - executing a plan impacts the real world, strategy must cope with high information needs at operating ends

Scientific Method

Boyde | QwfBA


Reasoning

Category of characteristics that describe how to reach new conclusions from previous assertions

Categories: Assessing


Recognition Primed Decisions

(delete - replaced by Recognition Priming)

Categories:

{Recognition Priming}

Recognition Priming


Recognition Priming

A type of heuristic, where recognising elements of previous experience primes understanding of current

Categories:

A type of {Heuristics}. Appropriate training and experience makes similar assimilation easier, but can be misleading if the situation is misrecognised or otherwise different in fundemental ways. See eg [Klein etal 1998] on firemen in "Sources of Power"

Heuristics

Klein & etal 1998


Red Team

Deliberate attempts to create teams that look for assumptions and errors

Categories: Organisation

{ANTI:Groupthink} anti {Peer Review}

ANTI:Groupthink | Peer Review


Redundancy Shirking

Where people know their work is being duplidated elsewhere, or will be checked,and so are less careful than they could be

Categories:

eg [Hammond 2004]

Hammond 2004


Reference

Categories:


Reference Clusters

Where expertise and common data can be found in groups of sources

Categories: Organisation structure

Clustering, 'Centralisation': Repositories as local enablers: local discussion is informed by central (remote) repositories and vice versa [Sieloff] and [Earl] IT etc; 'centrally' (for a given community meaing of central) accessible databases that can be added to and viewed [Earl]. Is this the same as a library {Boundaries} {Granularity} & {Scope}

Boundaries | Granularity | Scope

Sieloff | Earl | Earl


Reference Data Sets

Categories:


Reference knowledge

Categories:

Reference Portals (eg wiki/sharepoints) as ways to document and publish to the communities eg Oluikpe 2012. Portals (eg wiki/sharepoints) are slightly down in the technical weeds, but the ability to have centrally accessible reference documents (ie, ones that everyone can refer to in a common way and common diagrams, etc) are useful ways to document and publish to the communities eg Oluikpe 2012 and many commercial training and ''how to'' materials. [Oluikpe 2012]

Oluikpe 2012


Reference Material

Categories:

Common reference material provides common reference frames [thinking. Sieler/HP. Wikipedia]

thinking., Sieler/HP. & Wikipedia


Reference vs updates

Categories:

Current state' vs updates (Reference Set vs discourse): Controlling 'current picture'; eg engineering diagrams and fixes and bugs. eg Airbus Industries distributing CD-ROMs of maintenance manuals, and/or websites for Xerox engineers for fixes approved by peers(Earl) plus various others. Probably not public, as the support is a revenue stream. But there is also public forums, eg Nokia, where customers can support each other, reducing the load on non-revenue support activities . eg Haynes manuals . But then also vanity publishing (Sieloff) '' clutter [Earl, Sieloff]

Earl & Sieloff


Regulation

Varying host government (and company) regulations will affect what information can be held where and how

Categories:

[Gupta & Govindarajan 1991] make the point that different host government regulations will affect the way that a multinational corporation treats its different subsidiaries. In any case there are various laws on holding information (eg The UK Data Protection Act) and social mores on how data is processed ("There is legal, and there is will-be-illegal, and there is legal-and-acceptable. Inbetween is 'creepy'" - Amazon CIO at RUSI conference 2012ish)

Gupta & Govindarajan 1991


Relevance

Match between information/data and the task at hand

Categories:

useful, relevant, applicable, helpful. (4 items) [Ge, Helfert, Jannach 2011] Understanding relevance helps route the information to the 'right people at the right time', but this becomes more difficult when the people and the structure changes quickly [Anne et al 2008] who calls the 'rightness' of the information to the task 'proximity'.

Ge, Helfert & Jannach 2011 | Anne & et al 2008


Reliability

In measuring, the repeatability or consistency of a measurement. The expectation that the future behaviour of a person/sensor will be similar/compatible with previous.

Categories:

Reliable, dependable. (2 items) [Ge, Helfert, Jannach 2011] {Not:Accuracy} E20 See also engineering definitions And transfer of concepts to Social Sciences eg [Carmines & Zeller 1979] and Psychology [Sechrest 1984]

NOT:Accuracy

Ge, Helfert & Jannach 2011 | Carmines & Zeller 1979 | Sechrest 1984


Remote Discussion Tools

Categories:

emails, phones, chat; low barriers to quick interrupts and deal-withs (conversation with military operators re jchat) [(me)]

(me)


Remoteness Objectivity

Categories:

some technology mediated relationships are more accurate than unmediated (Straus, Miles & Levesque 2001 via Crampton etc). All the same, Crampton etc assert that visiting the remote sites aids social understanding, even if only some of the local team do so {Proximity} [(Straus, Miles & Levesque 2001 via Crampton]

Proximity

(Straus, Miles & Levesque 2001 via Crampton


Repackaging

Continuous education as 'news' feeds repackage existing concepts for newcomers

Categories:

Continuous education in 'push' update forms such as forums, news feeds, interest sites, etc [(Technical/Management website interest feeds)]

(Technical/Management, website, interest, et al


Replicability

How well repeated observations return the same or similar results

Categories: Observation

Academic discourse assertion {Information Conformity} {Quality}

Information Conformity | Quality


Report Ambiguity

Number and range of possibilities that fit with the given report

Categories: Quality

Can lead to very different pictures


Reporting incentives

Categories:

Barrier to reporting: incentive to overcome any barriers. Disenctives to get involved


Reporting opportunities

Categories:

Barriers to reporting, eg onerous requirements, inadequate equipment/transport,


Representation

Categories:

concise, compact. (2 items)


Representing Uncertainty

Categories:

Various ways of representing uncertainty that are easier to understand vs more complex. See eg Blackett 2011: Italian Flag, Cochranes data quality, IPCC, etc


Repression

Categories:

Disposition to block or deny, by individual and/or group {Sensitivity} {Levelling}

Sensitivity | Levelling


Repudiation

Categories:

How easy it is to avoid responsibility for data/reports/ {Security} {Information Assurance}

Security | Information Assurance


Reputation

Past performance as an indicator of current trustworthiness. .

Categories: Social Trust | Trust

[Dictionaries] [Li 2005 p10] talks about reputation as trust to improve long term relationships, eg brokered by middle managers. Reputation is an aid to trustworthiness, a potential for successful transfer, see [Barret 2004], [Hansen 1999], [Szulanski 1996], for those looking to experts for suitable information. However reputation can affect expert behaviours, for example by those with good reputations making them reluctant to risk it compared to those without ('Matthew Effect' from [Lucas 2006]), or by encouraging them to direct sharing when their reputation is invested and they are conscious of the need to maintain it {Invested Reputation} and that they are more likely to talk to others with good reputations than anyone else (which should also not be surprising). Willingness to engage with others with similar worldviews (...culture...) and less so others with more different (...difficulty?). Risk to reputation; cautious sharing [Lucas 2006 p13]. Broad range of checks to assess other's reputations [Wilson 1985 via Lucas 2006], good reputation increase 'potential' for successful knowledge transfer [Barret 2004, Hansen 1999, Szulanski 1996 via Lucas 2006] Sometimes given by proxies (eg citation counts), or by proxies (ie people's opinion of other people). A key element in both 'community based' and 'systematic' literature reviews (eg "from good sources, of good reputation, well referenced" [Ge, Helfert, Jannach 2011]) Reputation effects in [Vancil Pendell p2] (Nixon/Kennedy effects review) {Tribes} {Othering} {Barriers}

Invested Reputation | Tribes | Othering | Barriers

Dictionaries | Li 2005 p10 | Barret 2004 | Hansen 1999 | Szulanski 1996 | Lucas 2006 | Lucas 2006 p13 | Wilson 1985 via Lucas 2006 | Barret, 2004, Hansen, et al 1996 via Lucas 2006 | Ge, Helfert & Jannach 2011 | Vancil & Pendell p2


Reputation Stickiness

Categories: Stickiness

Stickiness of perception/reputation etc: first impressions count: confirmation bias from early impressions (eg Jonas, Schulz-Hardt, Frey & Thelen 2001 via Crampton, Orvis and Wlson 2007). See also remote obectivity; being remote reduces human interaction biases [Jonas, Schulz-Hardt, Frey & Thelen 2001 via Crampton, Orvis and Wlson 2007]

Jonas, Schulz-Hardt, Frey, et al 2001 via Crampton, Orvis & Wlson 2007


Reputation Trust

Categories:

Reputation/Trust/Rightness: (Li p10) better for long term relationships, eg brokered by middle managers. Lucas 2006 talks about ''Matthew effect'' of people with good reputations more concerned with protecting that reputation than those with none or bad ones (which should not be surprising), and that they are more likely to talk to others with good reputations than anyone else (which should also not be surprising). Willingness to engage with others with similar worldviews (...culture...) and less so others with more different (...difficulty?). Risk to reputation; cautious sharing (Lucas 2006 p13). Broad range of checks to assess other's reputations (Wilson 1985 via Lucas 2006), good reputation increase 'potential' for successful knowledge transfer (Barret 2004, Hansen 1999, Szulanski 1996 via Lucas 2006)


Resistance to change

Tendency to preserve process - sometimes for good reason

Categories:

[Argote 2001 via Lucas & Ogilve 2006 p8] and [Winter & Szulanski via Lucas & Ogilve 2006 p8] call us creatures of habit that resist change, and this resistance must be managed for knowledge transfer to succeed. ' {Stickiness} (merge topics?) 'Overcoming resistance to change'' is a common management topic but usually fails to address the point: people are rarely resistant to change by itself (who would resist inheriting a few million pounds?), rather people resist uncalled for imposition of change. People need to see what the benefits are to them '' ''buy in'' '' to welcome change. From personal experience, Surprising imposed change is resisted very strongly {Surprise} whereas participation in change {Participation} is much more strongly accepted

Stickiness | Surprise | Participation

Argote 2001 via Lucas & Ogilve 2006 p8 | Winter & Szulanski via Lucas & Ogilve 2006 p8


Resolution

'Binning' effects where values cannot be known within certain limits of each bin

Categories:

?binning? effects of various sensors. For example, CCD cameras can be pointed very precisely, so that the direction that each pixel is pointing in is well known, but each pixel will capture any photon with its borders


Resources

Categories:

Access to and timeliness of that access to new resources to support information tracking, reference sets, dissemination, etc. People as well as technical, mechanical, process [Me] [ Aggregate of others]

Me | Aggregate, of & others


Response

Categories:


Response Speed

Categories:

How quickly teams/individuals can respond to trigger event, eg input or observation or request {Timeliness} {Heuristics} [inspired by SAS 050]

Timeliness | Heuristics

inspired, by & SAS 50


Response Time

Categories: Method | Organisation

eg {Access} ; how quicky can the assessment be made, the information be retrieved, the organisation re-shaped

Access


Responsibility and Accountability

Categories:

{Proxy for trust}

Proxy for trust


Responsiveness

anti-

Categories:

Responsiveness: explicitly shared norms about returned phone calls / emails / messages. [Haywood 1998] ''If you want to do one thing that will dramatically improve your teams communication, you should develop availability standards''. See also [Power to the Edge 2003 p128]. {Mitigating Remoteness} {Proximity}

Mitigating Remoteness | Proximity

Haywood 1998 | Power, to, the, et al 2003 p128


Rhythm of Battle

A fixed workflow with coordination times fixed, usually against a daily clock.

Categories: Timeliness

"Rhythm of battle" refers to a regular 'beat' of decision making over a fixed time period which repeats. For example, a daily battle rhythm will issue battle plans at a particular time of day, with a series of milestone meetings and task outputs due at particular times on the run up to that point. Aids internal planning and expectations, but reduces ability to 'grab the moment' see eg [Jim Storr 2009] {OODA Loop} {Planning}

OODA Loop | Planning

Jim & Storr 2009


Rich Pictures

Informal reference diagrams built and used in common by collaborators

Categories: Visualisation

Discussing over informal diagrams germaine to the discussion, eg [Stanton, McIlory 2012]. Similarly {Rehearsal of Concept} ROC drills where collaborators work through a model of the situation to become comfortable with tasks and requirements. {NOT:Formal Diagrams}

Rehearsal of Concept | NOT:Formal Diagrams

Stanton & McIlory 2012


Robustness

Categories:

The degree to which an assesment remains consistent with a range of plausible unknowns. See also vague/too abstract/not useful/too broad


Roles

An organisation is an arrangement (that may change) of roles (that may change) with various proximities (that may change) to other roles

Categories: Organisation structure

An {organisation} is an arrangement of roles (that may change) with {proximity} to other roles Roles of Nodes in networks distributing knowledge: [Li 2005] describes categories of middle manager activities such as Radar, Filter, Champion, Coordinator and Problem Solver that coordinate relationships, find knowledge, bridge, translate, synthesize, filter and encourage rather than just execute and apply or transfer. These may be laterally across organisations, not ''just'' up and down management hierarchies. Also [Mintzberg 1978] suggests managerial roles that include informational (monitor, disseminator, spokesperson) and relational (eg liaison) (Candidate characteristc list [Eriksson 2009] )

organisation | proximity

Li 2005 | Mintzberg 1978 | Eriksson 2009


Routines

Common routines (or practice, or process) can be used as a form of knowledge that can be transferred without deep understanding

Categories:

Process is knowledge too. Process as knowledge: Capturing knowledge about how to do things as a process or checklist. Automating eg help desks (ie capturing knowledge of process and customer base and history to paper/software/technology) can support certain types of knowledge, especially across high churn staff where tasks are relatively static (eg [Barr 1991] [Mansar, Marir & Reijers 2003]) where the knowledge can be categorised cleanly and held in readily available/recognisable places (eg bug fixes, support desk histories, past histories, sales, etc). Policies must be reasonably fixed wrt to the business model; if the business changes direction then policies/proceses may not be suitable and may not be owned well enough to change see eg [Levitt & march 1988] and as 'Organisation Rules' by [Grant 1996 via Kieser & Koch 2008] but a [Common Term]. {best practice} for example is a routine that has been marked as a preffered set of actvities. May become examples of {Superstitious Learning} whether good or bad as in {Gorillas In a Cage} Also 'contingent employees' (eg contractors) impact is an open question [Lucas 2006 p21]

best practice | Superstitious Learning | Gorillas In a Cage

Barr 1991 | Mansar, Marir & Reijers 2003 | Levitt & march 1988 | Grant 1996 via Kieser & Koch 2008 | ... | Lucas 2006 p21


Routing

Directing publish/subscribe, routing information rather than re-espousing. Passing a book, or directing a person to another person, rather than re-interpreting

Categories: Method | Organisation

Any writing. {Information Flow}

Information Flow


Runner glue

People who are 'loose' in an organisation and so can find, on the fly, the points that need to be connected to other points and communicate between them.

Categories:

Inspired by Heaps in Operation Market Garden


Running Commentary

Categories:

{Mentoring} [Perez de Long]

Mentoring

Perez de & Long


Salience Mismatch

The extent to which the same situation is observed and understood in different ways

Categories: Assessing | Assimilation | Observation

There are an indefinite number of potentially important variables in a new and difficutl experiment and the two parties focus on different ones. Thus A does not realise that B needs to be told to do things in certain ways, and B does not know the right questions to ask. Resolved when they watch each other work {Collaborator Situation Invisibility} [Collins 2001]

Collaborator Situation Invisibility

Collins 2001


Sampling

A collection of methods and biases for seeing only incomplete parts of the situation and having to generalise from it

Categories:

Op Market Garden


Satisficing

Sufficiently Satisfactory; not the optimal result, but 'good enough'

Categories:

From [Simon 1989]'s concept of {Bounded Rationality} where people do not seek the perfect, optimal answer from all the available information (and indeed, may not be capable of doing so due to {Information Overload} and limited {Cognitive Capacity} ) and so 'satisfice' instead

Bounded Rationality | Information Overload | Cognitive Capacity

Simon 1989


Satisficing Rumour

Categories:

Sufficient poorly provenanced information becomes Truth, and then this becomes too solid to deal with contradicting testimony. [Tu''????��?���§e Albayrak]

Tu''????��?���§e & Albayrak


Scientific Method

Poorly described but commonly cited process that is suppoed to produce reliable knowledge

Categories: Method


Scope

Categories:


Security

Security disables as well as enables

Categories:

secure, protected, authorized access. (3 items) [Ge, Helfert, Jannach 2011] ? [Dictionaries] Authentication in [SAS 050] {Authentication} {Integrity} {Confidence}

Authentication | Integrity | Confidence

Ge, Helfert & Jannach 2011 | Dictionaries | SAS 50


Seeing vs Doing vs Instructions

'I hear and I forget. I see and I remember. I do and I understand'

Categories:

Analects Confucius {Assimilation}

Assimilation


Selection

Categories:

Selecting what data is informative, and so what is worth the attention and bandwidth that it would consume to communicate and is therefore worth sending, depends on knowing what the recipient knows, doesn''t know, and needs to know. The recipients might communicate what they want to know (''subscribing'' in the publish/subscribe model), which itself costs attention and bandwidth Choosing which information seems more useful and relevant and so on


Self-imposed bubbles

Categories:


Senders Expertise

Categories:

Knowledge about the extent of the sender''s expertise also affects communication requirements. An expert that has established credentials that include a reputation for good quality advice may only need to provide an easily codified ''explicit'' opinion. For example an experienced British Army soldier reporting the location and identity of a partially concealed enemy vehicles, or a geologist reporting the likely direction of a mining seam. When these credentials are not so clear then enough background expertise (''why?'', ''because...'') need to also be communicated


Sensitivity

Categories:


Shared (open source etc)

Categories:


Shared Awareness

Categories:

No such thing as shared


Short interactions

Availability for short interactions

Categories:

Short interactions: Availability for short comms improves collaborations: instant messaging with 'on-line' markers to indicate quick easy comms, similarly voice, to support the same sort of fast turnaround short discussions available in the workplace (eg [Sieloff]). Peripheral cues for busy and interruptible ([Dabbish and Kraut 2004 via Bos 2009]). Quickly asked questions, quickly answered (eg Sieloff). {Physical Proximity} {Fast Response}

Physical Proximity | Fast Response

Sieloff | Dabbish & Kraut 2004 via Bos 2009


Siloes

Broad category of activities that tend to isolate teams from each other

Categories:

[McLaughlin 2010] as failing to support collaboration. Not always a bad thing; communication costs effort, and silos are a place to focus on a task.

McLaughlin 2010


Silos Fail

Categories:

Mclaughlin as one example asserting that functional siloed approaches fail [but do they? And when they do in what way? What are the advantages] [Mclaughlin]

but, do, they?, et al | Mclaughlin


Simplifying

where we know we haven''t included things in the model at all deliberately (to simplify, where we think it''s small)

Categories:

where we know we haven''t included things in the model at all deliberately (to simplify, where we think it''s small) [Palmer 2010]

Palmer 2010


Simulating Data Transfer

Categories:

Agent-based software simulations [as Annosi, Pascale, & Gross 2008, Al Shawa 2011, Anumba, C.J. et al. 2001, Baumgarten 2006]

as, Annosi, Pascale, et al 2006


Simulating KD systems

Categories:

What existing work? Fuzzy logic. Agent based systems


Situation

Parent category for characteristics of what is going on in the environment that the collaboration is studying

Categories:


Situation Awareness

Knowledge about what is happening in the situation

Categories: Situation

Term made famous/central by Endsley. Military for local understanding. Situation Understanding. "Cognitive Situation Awareness" appears to be the professional psychological and cognitive cross-over term eg [Durso & Sethumadhavan 2008] [Flach 1995] and [Dekker and Hollmagel 2004] caution against using catch-all labels such as "Situation awareness'' as substitutions for insight, and attempting to over-generalise from somewhat arbitrary categories. For example, the phrase ''due to loss of situation awareness'' does not explain why something went wrong: loss of SA is not the cause, though it may be a categorisation.

Durso & Sethumadhavan 2008 | Flach 1995 | Dekker & Hollmagel 2004


Situation Complexity

A measure of how many components and their interactions there are in the situation

Categories: Context

[Rittel and Webber 1973] introduce "Wicked, intractable" complexity, which should be considered the 'standard' situations for this study. Similarly {Situation Dynamics} {Situation Ambiguity} ie in what ways it changes Number of factors and relationships and degrees of freedom; intricacy (Inspired by [SAS 050] Complexity of situation) {Ambiguity} Complexity is a {motivation} for collaborating; as [Meyer 2009] puts it, the situation is too difficult for individuals to encompass (although Meyer 2009 talks about total complexity, it's probably more accurate to say that it's too complex for the time available, rather than there being 'too much information to process'). [Kluge 2004 via Meyers 2009] (original in German) defines complex problem solving as being too difficult for pen and paper, but it's worth bearing in mind that Britain and China ran large empires with pen and paper Opposite of 'easy to understand' easy to understand, easy to comprehend, easy to identify the key point. [Ge, Helfert, Jannach 2011]

Situation Dynamics | Situation Ambiguity | Ambiguity | motivation

Rittel & Webber 1973 | SAS 50 | Meyer 2009 | Kluge 2004 via Meyers 2009 | Ge, Helfert & Jannach 2011


Situation Dynamics

The way the situation, information feeds, tasks, goals are changing

Categories: Context | Time

Changing relationships between knowledge, tasks, goals, the world: Executing a plan impacts the real world, thus generating new knowledge that must be fed back in to the collaborators knowledge sets, so modifying the plan and maybe the tasks and even goals (eg Bonaparte, plans and enemies). Strategy must cope with high information needs at operating ends.


Situaton Theory

Categories:

followed Devlin & Barwise work on ''Situation Theory'' as a semantic and logical construct, and derived work (such as that from Matheus and Kokar) refer to Situation Awareness concepts as semantic and logical constructs that are a description of situation or a language for describing. [Devlin & Barwise] [ Matheus & Kokar]

Devlin & Barwise | Matheus & Kokar


Skew

Effects on assimilation and understanding

Categories:

For example availablity, temporal order of communications [Patrick et al 2012]

Patrick & et al 2012


Sliding Alternative Ambiguous Fact

Ambiguity that allows a range of situations to match the statement

Categories:

For example the term "Muslim ban" was used by several communities in early 2017 to refer to a presidential restriction on travel. It can be used to refer to a single person refused travel who happened to be muslim, to a ban on all muslims for being muslim. The implied meaning can be slid towards the more extreme, even though muslims from the targetted countries were being allowed entry from the first arrivals following the signing onwards. , "Smoking kills"


Social

The non-informatic relationships between people that affect trust and informatic exchange

Categories:


Social Bubble

Limiting access to contradictory ideas or observations due to social pressures and perceived stigmas of 'others'

Categories: Social | Bias

Limited by 'choice' or ease of access or social pressures rather than by technology or ability {Tribal Boundaries} {Othering} {Echo Chamber} {Barriers}

Tribal Boundaries | Othering | Echo Chamber | Barriers


Social context

The socially-constructed context around the situation and collaboration drives the knowledge sought and distributed

Categories: Context

Knowledge requires social context: [Lucas 2006] strongly concludes that knowledge transfer can only be understood with social research context.

Lucas 2006


Social Trust

Trust from social factors such as liking, rumour, personality, non-technical behaviour

Categories:

Not explicitly studied, but strongly related amongst the various overlapping trusts, see eg [Holton 2001] Efforts to tie down what trust ''is'' in such cases is settling around vulnerability and expectation (eg [Newell 2007] [Zand 1972]; that is the acceptance that other partners can cause damage by not acting as agreed. Where such risk does not exist, there is no need for trust and so trust is irrelevant [Mayer, Sabel, Roussaeu]. All the same, not reducing information too far reduces perception of vulnerability [Thomas], more willing to rely on trustee. May still want more [Zimmerman et al 1996 through Thomas] Eg [Julsrud 2008]: establishing trust, distributing trust , structure for preserving trust: ''Trust represents a mental state characterised by confidence in the belief that others will behave in line with one''s own wishes and expectations, in situations where it is difficult for the individual to observe or control the actual actions of others'' (has ch3 reviewing trust lit) Vangen 2003, Huotari 2004, EIU 2008 {Vulnerability} and {Expectations}

Vulnerability | Expectations

Holton 2001 | Newell 2007 | Zand 1972 | Mayer, Sabel & Roussaeu | Thomas | Zimmerman, 1996, through, et al | Julsrud 2008


Software Repositories

Categories:

eg sharepoint, wikis (up to date reference pages, rather than expertise) [(me)]

(me)


Sound bites

Easy to remember phrases that

Categories:


Source Availability

How easy is it for information to find the target, or for the target to realise that a source exists and access it

Categories: Organisation | Proximity

A kind of {Proximity} aggregate. Includes proximity of sources from each other; can you go to one place (eg a library) to find all you need, or do you have to search several places which increases search time (eg [Holton 2001])?

Proximity

Holton 2001


Sparse

Categories:


Sparse Unreliable Cluttered

Amount of irrelevant material that is observed or communicated or assimilated etc

Categories: Situation | Information Transfer

[Hill]

Hill


Specialist vs Generalist

Breadth vs depth of knowledge

Categories:

Specialist vs Generalist: [Turner et al 2000] who are a bit binary; you are one or the other. A characteristic of {Expertise}

Expertise

Turner & et al 2000


Specification IQ

Categories:

Specification Information Quality measures the extent how information is in accordance with its specification. Typically, specifications are described by data schemas, rules and references. Using these specifications, software programs can be used to assess the specification quality of raw data {Information Quality} [Ge, Helfert, Jannach 2011]

Information Quality

Ge, Helfert & Jannach 2011


Speech Acts

Categories:

Speech acts are somewhere between the mechanics of information transfer and social collaboration and expertise (eg Salt 2004, Austin 1955, Searle 1969) {Mechanics} [Salt 2004, Austin 1955, Searle 1969]

Mechanics

Salt, 2004, Austin, et al 1969


Spent Red Team

When people no longer listen to red teams or devils advocates because they are always seen as opposing for the sake of it

Categories: Social | Assessment

When people no longer listen to a {Red team} or devils advocates because they are always seen as opposing for the sake of it (from thought from Market Garden) {Red Team}

Red team | Red Team


Sponsor Roles

Categories:

Sponsored' employees: (Lucas 2006) when employees are eg promoted or placed in a new task by a sponsoring senior, senior finds the right information to support the sponsored, in order to protect the senior's reputation. {Incentives} [Lucas 2006]

Incentives

Lucas 2006


Spurious Correlation

If you look hard enough in large complex datasets, you will find something that fits your search

Categories: Assessing | Bias

In large complex datasets that will be a number of patterns and correlations that exist by accident. When searching for outliers and correlations, without understanding, these can provide 'evidence' for a theory that is broad enough to include them. For example, "Warmer weather causes good things" can be backed up by the data that shows a decrease in piracy and an average increase in temperatures over the globe over the last century, see eg [tylervigen.com] In theory this is why hypothesis are supposed to be formed first, but that does not make an effective difference (the revised or accepted hypothesis is still a post-analysis hypothesis)

tylervigen.com


Stepping Stones

Categories: Context | Method

Some people have no domain knowledge at all and this cannot be acquired by simply telling people a lot of stuff in one sitting; people are not sponges. Have to have stepping stones, trojan mice, introducing concepts that can then be built on. Working exercises; we understand by solving problems [Geoff Markham] Bog: dealing with supervisor who has coal mining enviornemt experience (known to be dangerous), does safety course but now when running warehouse sees it as 'not dangerous' to 'not as dangerous' environment. {Trojan Mice}

Trojan Mice

Geoff & Markham


Stickiness

The tendency for people and groups to resist change, sometimes with reason

Categories: Bias | Barriers

See eg [Szulanski 1996] about difficulties in transferring best practice including but not primarily {Motivation}, such as {Absorptive Capacity} {Causal Ambiguity} and {Social} issues such as poor personal relationships. concept introduced as 'sticky information' by [von Hippel 1994 via Szulanski 1996] and also possibly {Tacit Knowledge} by [Polyani]

Motivation | Absorptive Capacity | Causal Ambiguity | Social | Tacit Knowledge

Szulanski 1996 | von & Hippel 1994 via Szulanski 1996 | Polyani


Stop Thought

Categories:

Tempting soundbite that lets the line of reasoning come to a comfortable halt. Eg "HS2 or NHS", or "Your control over your own body"


Storytelling

Categories:

[de Long] [ Kozlova 2011]

de & Long | Kozlova 2011


Structure

Categories:

DART {Re-adjusting} {dynamic} [Dodd]

Re-adjusting | dynamic

Dodd


Structure Flexibility

Categories:


Subdividing tasks

Categories:

Dividing tasks up along lines of existing convenient groups, so low level information exchange constraints are mapped onto organisation cells that reflect these. (Sieloff, Warumich) [Sieloff, Warumich]

Sieloff & Warumich


Suitable

Categories:


Superstitious Learning

'This' happened, then 'that' happened, therefore 'this' caused 'that'

Categories:

Where correlation was not clear, one can confuse correlation with cause, ie in {Causal Ambiguity}. See also imitating success, eg habits of successful people or reading books written by them; their habits may not be the cause of their success (which may even be chance). However imitating success over the long term is probably more beneficial than not...

Causal Ambiguity


Surgeon Teams

Pairs or small groups of diverse skill sets rather than homogenous teams with support roles

Categories: Roles | Team Arrangement

A small scale version of a {Collaboration Categories} where a team is made up of a 'prime doer' and support staff, rather than a range of 'doers' with support teams of support staff. Suggested by [Brooks 1995] not seen it attempted. Also army platoons,where junior commander officers are paired with experienced soldier sergeants, and dedicate radio operators are embedded in the same head. [Chhabra Das & Same 2011] find the benefits of such pairing in simulation. [Pickle 2006]

Collaboration Categories

Brooks 1995 | Chhabra, Das & Same 2011 | Pickle 2006


Surprise

Sound information that does not appear to fit the existing picture

Categories:

Surprise emerges from several discussions. The Good and Bad of evaluating incompatible information against background knowledge; the iconoclastic sausage [Salt]. Possibly the extreme form of {Double Loop Learning} ''Surprise might be seen as new incompatible knowledge without the time to rearrange knowledge [Storr 2009] Surprising information is likely to be more carefully scrutinised [Boiney 2005]. Tendency to reject, or be highly skeptical of, new incompatible knowledge (a kind of {Bias} but a sensible one) Attention consumed is higher Is it something new that requires remodelling the worldview? Or? something misreported that should be discarded because it doesn?t fit the worldview? Or? a deliberate deception to confuse and consume attention? How do you decide before you know which? Hindsight may be useful, but too often is just a case to show that ?sometimes we discarded something we shouldn?t? ? well yes, but often we have discarded many things we should. How do we tell which is which? Not modifying on new (incompatible) information leads to entrenchment and surprise. Always modifying on new (incompatible) information leads to lost attention, gullibility, prevarication and dithering

Double Loop Learning | Bias

Salt | Storr 2009 | Boiney 2005


Sweet Spots

Engineering term for 'just right'; combinations of characteristics that result in local optimisations of certain outcomes

Categories:

Not too much, not too little, 'just right'


Systematic Bias

Categories:

[(General)]

(General)


T-shaped skills

Both deep technical/domain knowledge (the stem), and interpersonal broad knowledge to be able to reach out to others in different domains

Categories:

the need for software engineers to be able to speak to managers, and vice versa. [Guest 1991]

Guest 1991


Tacit Knowledge

knowledge that is hard to formalize and communicate

Categories: Knowledge

Tacit knowledge (as given by [Polanyi 1962]) is the knowledge that is hard to formalize and communicate. May lead to 'engrossment' [Bechky 1999] [Dougherty 1992] via [Lucas 2006]. KM needs to include both information management and tacit knowledge management (eg [Al-Hawamdeh 2002]) [Gourlay 2004] lists several meanings suggested or discovered in empirical studies {Assumptions} {ANTI:Explicit Knowledge} But should not be treated as exclusive to explicit knowledge, as there are means to elicit tacit knowledge to make it explicity (eg [Nonaka 1991]) Called 'uncognized' or 'uncongnizable' knowledge by [Collins 2001]: eg Learning to speak in the native tongue without knowing how. Passed only through apprenticeship and emulation. Also 'unrecognized' knowledge "A" performs aspects of an experiment in a certain way without realising their importantce. B picks up the same habit without realising anything important has been passed on. [Collins 2001] Other subtypes from Collins: who suggested ?mismatched saliance? looking at the wrong thing, ?ostensive knowledge? that is better pointed at than talked about and ?unrecognized knowledge? things you are doing or assuming that you don?t realise is relevant

Assumptions | ANTI:Explicit Knowledge

Polanyi 1962 | Bechky 1999 | Dougherty 1992 | Lucas 2006 | Al-Hawamdeh 2002 | Gourlay 2004 | Nonaka 1991 | Collins 2001 | Collins 2001


Tact

Categories:

Valedectory notes from departing ambassadors released on wikileaks turned out to be sensitive (Black & Bryant). Leads to flavouring of communication to fit with superiors or perceived popular acceptability.


Task Clarity

Categories:

How well is the assessment goal understood? Eg what is the question, how ambiguous is it, etc? [me, training materials for Structured Anlaytics Techniques]

me, training, materials, et al


Team Arrangement

Small group roles, relationships and proximities

Categories: Organisation structure | Granularity & Scope | Roles

proportions of peopke in subunits, specialisation by teams, span of control, centralisation, network complexity, authorisations etc Sizes of teams and skills etc (See also Team Space [Mintzberg 1979] the structuring of organisations)

Mintzberg 1979


Team bonding

Categories:


Team Familiarity

Categories:

Fmiliariyt with each other and abilities and styles and capabilities. Sel-fSituation Awareness? Friendly Forces awareness. See also [SAS 050] Hardness (?check) {Team bonding} {cohesion} {common etc}

Team bonding | cohesion | common etc

SAS 50


Technical barriers

Issues that reduce the effectiveness of communications using technology

Categories: Communication | Barriers

Technical Barriers/Issues to implement: eg [Aho 1996] in early days of internet and google etc, but issues remain: scalability (better now), integrating mulitple media sets, organising and integrating 'knowledge' (jargon, etc), integrating systems and evolving them, quality, searching, universal access

Aho 1996


Technical vs Social in study

Categories:

Technology vs Social: (eg Blankenship, Ruona 2009) studies are moving from technology focused strategies to social ones. [Not sure this is very well borne out, but certainly sudden step changes in possibilities opened by technical innovations may have pulled focus about]. [Blankenship, Ruona 2009]

Not, sure, this, et al | Blankenship & Ruona 2009


Technical vs Social in transfer

Categories:

Mechanical/Technical vs Social: Lucas 2006 p8 [false dichotamy? different viewpoints? or different aspects?]. Simon Bray''s 2010 talks about information flow; typical perhaps of ESII/CIBM approaches (reflecting British DSTL approach?). The use of controlled language via drills (eg ''voice procedure'') - defining unambiguous specific language [technical] is that it struggles to cope with situations that it was not defined for. Speech acts. {Information Flow} [Lucas 2006 p8] [ Bray 2010] [ (british army doctrine)]

Information Flow

false, dichotamy?, different, et al | technical | Lucas 2006 p8 | Bray 2010 | (british, army & doctrine)


Technology enablers

Categories:

Technology enablers and consequences: Collaboration tools phone conversations/email/shared graphing space vs letters, letters require devolution rather than collaboration due to time differences, but that's a kind of collaboration. Whiteboarding, shared documents. Where enabling causes problems (eg situation invisibility), but is this better than not enabling. Same data sets: Reference/Common documents, same data sets to refer to (eg maps), audit...


Technology/Social feedback

Categories:

Technology/Social interactions are not one way; technology opens opportunities for social collaboration, and social needs direct technology. Some technology gaps (ie, where the social needs direct the technology) are established. ''SocioTechnical Systems'' eg [Kurapati et al 2012] Common term in physical design of buildings [Kurapti et al 2012]

Kurapati & et al 2012 | Kurapti & et al 2012


Telling vs Doing

Categories:

eg Matsuo & Easterby-Smith 2008, on customising sharing


Tendency to Honesty

Categories:

People are normally honest. Freakonomics and Paul Feldman and his bagels (Louise Vouexx what? from audio]


Test term

Test

Categories:


Them and us

Categories:

Tribalism & Utility: People form groups and subgroups (granularity) of ''us'' and ''them'' with even small perceptions of differences and tend to favour people that they know which can give ''less than optimal performance''. Relationships can be to groups rather than individuals. (Bos 2009 p21) "ad-hom arguments in the service of boundary work among climate scientists" refers to Merton {Tribes} [Bos 2009]

Tribes

Bos 2009


Theory ambiguity

Categories:

As information Ambiguity but to how we think things interract {Confidence} {Relevance} {Accuracy} {correctness} [SAS 050 has 'mental models']

Confidence | Relevance | Accuracy | correctness

SAS, 050, has, et al


Thinking Too Long

Categories:


Time

Category of characteristics that affect time taken to distribute knowledge

Categories:

[TODO: break out from characteristics of time that affect other categories] For example, compare timeliness with distributing over time (ie writing a document for later, or dynamics that affect organisations eg churn)

TODO:, break, out, et al


Time as well as space

Categories:

Time as well as network space may be relevant for knowledge distribution, especially where there is a discontinuity (eg preserving Fast Reactor skills).


Time Proximity

How far apart in time are the source and targets of the communication?

Categories: Barriers | Proximity | Response Time | Communication

Delays, ''holding'', preserving; distributing over time: [Lucas 2006, p21] Possibly maybe outside scope, but maybe not. Preserving knowledge in a high-churn group is part of the military problem at least. Eg lost NI knowledge between reduced ops there and start of ops in Afghanistan [Nolan 2012, p224]. Fast Reactor Knowledge Preservation. [de Long 2015] "Sustaining our Nuclear Skills" {Organisation Memory} {Forgetting}

Organisation Memory | Forgetting

Lucas 2006 p21 | Nolan 2012 p224 | de & Long 2015


Timeline

Categories:

A view of events based primarily on time (rather than space or social relationships, etc) {History}

History


Timeliness

The relationship between time taken to collect and fuse information and assimilate that into knowledge, and the decisions made from them.

Categories: Time

In two forms; (1) rhythm-of-battle and decision-cycles are based on regular decision points, and if information is not provided before then it is not "timely" (a boolean "in time" vs "too late"). (2) the faster you can assimilate a workable understanding, the faster you can make decisions and 'surprise' [Jim Storr] {Surprise} {Decision Cycle} {Rhythm of Battle} From Lorraine; the difference between chiros and chronos

Surprise | Decision Cycle | Rhythm of Battle

Jim & Storr


Timeliness (1)

Categories:

Timeliness: Time (concept) eg Dewey and Boiney 2005 and lots of other military texts on collaboration. [Dewey & Boiney 2005 and SAS 050 as Awareness Timeliness]

Dewey, Boiney, 2005, et al


Timeliness (2)

Categories:

Immediacy, Change, cycles and iterations. Possibly belongs more in decision making section, but Knowledge as a feed to the decision making cycle (eg Dewey). The care that should be applied to the 'cycle' concept; 'inside the enemies decision cycle' implies there needs to be iteration. Storr 2009 calls this dangerous; that sudden strikes are better than iteration, although attrition is fine as long as it's your enemy that is attrited. Timeliness is important for decision making '' what knowledge can be taken on board ''in time'' for it to still be relevant, even if all of it cannot (eg Storr); decision making should not be seen as something that has to be made by a certain time (battle rhythm, ''getting inside the enemies OODA loop'') but the trade off between earlier less informed decisions and later better informed decisions (Storr). [Storr 2009]

Storr 2009


Timeliness (3)

Categories:

Timeliness refers not just ''in time for a decision'' but include concepts of being able to make decisions sooner, or better ones all the time, especially when competing or conflicting (eg Storr). Also knowledge goes stale.


Timeliness (4)

Categories:

Timing is not just about tasking & decisions; volatility of information (lost reference dammit); information/knowledge goes stale, becomes obsolete. Also not about ''in time for a decision'' but the quicker you can make a decision the better especially when competing or conflicting (eg Storr, change since WW2 from 12ish hours from plan to execution at div level, to 36-48 '' despite better tech, p116)


Timeliness (5)

Categories:

current, up to date, delivered on time, timely. (4 items)


Timely Lookup

Categories:

Pull'/Just In Time access by lookup to 'current practice' when required rather than being bombarded by continuous uncoordinated change updates (viz academia) - Sieloff {Reference} {Timeliness} [Sieloff]

Reference | Timeliness

Sieloff


Top down vs Grassroots

Categories:

Grassroots and/or Top down: Headquarter-enforced strategies and policies are ''critical to disseminating new technologies and practices'' (Adenfelta & Lagerstromb 2006, Bjorkman 2004) but some studies show peer-peer methods can grow policies organically rather than via directives (eg Maximini, Trier and see also "I Pencil"). [Adenfelta & Lagerstromb 2006, Bjorkman 2004] [ Maximini, Trier]

Adenfelta, Lagerstromb, 2006, et al 2004 | Maximini & Trier


Training

specific/formal aggregation of experience into lessons

Categories: Time | Context

de Long


Transformation

The degree to which information or knowledge changes at each person before it is re-transmitted

Categories:

Information does not 'flow' across knowledge networks; it is transformed by background knowledge, context, purpose, demands, etc at each vertex {Anti:information flow}

ANTI:information flow


Tribal

Categories:


Tribal Boundaries

The edges of social groups that have trouble communicating outside the group

Categories: Social | Barriers | Boundaries

The ways in which various tribes (social groups) or technical skills, or communities of practice, or expertise groups, and so on have trouble communication outside the group that can result in frustration and behaviour that makes it worse, eg with climate scientists ([Souder 2012] and refers to [Merton]). {Tribes} {Othering} {Barriers}

Tribes | Othering | Barriers

Souder 2012 | Merton


Tribal Myth

Stories that are assumed to be true within a community that are no longer connected to the original facts or externally provided story

Categories:

Hyperbole, {Groupthink} and biased thinking can cause {Boundary mistranslation} where {Boundary Spanner}s provide a strongly slanted story that is accepted by the tribe without checks. For example (find refs): Tim Hunt, Boris Johnson's thing about Obama, Ken Livingstone's anti-semitism, Thatcher closing the coal mines.

Groupthink | Boundary mistranslation | Boundary Spanner


Tribalism

Categories:


Tribes

Categories:


Trojan Mice

Categories:

Passing knowledge in small, easy to assimilate lumps that do not trigger automatic rejections. Sometimes a form of political correctness, where this happens subconsciously, eg Slow incremental change rather than objective; eg millikan's experiments; Conforming 'mostly', fear of radical [Feynam's Cargo Cult address to caltech 1974]

Feynam's, Cargo, Cult, et al 1974


True Justified Belief

A set of - possibly too strong - requirements for 'knowledge' in the philosophical domain

Categories: Knowledge

As this requires a notion of 'truth' that is not possible in principle, these requirements seem too strong for practical purposes. The on-running discussion eg [Schnee 2015] of these terms in the philosophical domain, while {Knowledge Management} has been in commercial and academic use for some decades now, suggests this is a rabbit-hole that might be interesting but is not useful.

Knowledge Management

Schnee 2015


Trueness

Categories:


Trust

Measures and assessments of confidence

Categories:

Multi-dimension category covering various measures of how much confidence can be placed in (input) information or (output) assessments, and sub-parts of them. [Zaheer et al 1998 p143] suggest interpersonal and interorganisational elements of {reliability} {predicability} which are related to each other (?) and to expectations under vulnerability, and fairness. Each made up of three approaches: cognitive, behavioural and social. Trust leads to faster/easier acceptance, fewer receiver checks, less discussion [Earley 1986] [Zaheer et al 1998] [Holton 2001] covers a range of trusts including {Social Trust} and, interestingly, involves the team with the outputs of her surveys, and this gives them time and dialogue to reflect and develop their goals, improving team bonding (which is not just social, as it helps develop commonly understood goals and expectations).

reliability | predicability | Social Trust

Zaheer & et al 1998 p143 | Earley 1986 | Zaheer & et al 1998 | Holton 2001


Trustworthiness

Categories:


Turf Wars

Categories:


Two-headed decision makers

Categories: Organisation

Sgt & Officer, Project Tech and Project Manager (which are Project Lead?). From observation.


Type I Error

Categories:

Concluding something exists when it doesn't


Type II Errror

Categories:

Conclduing something doesn't exist when it does


Uncertainty

Aspects of the situation and picture that are ambiguous or invisible

Categories: Situation | Picture

Layman's introduction by [O'Hagan 2004]. An issue of {Trustworthiness} is how well these are understood and communicated; what in my {picture} is not known but has been filled with assumptions, for example. Uncertainty is a large, relevant can of worms (even in the simple world of automatic systems, see eg [Baxter 2009] ) (Candidate characteristc list [Eriksson 2009] ) Uncertainty is not special? - sometimes explicitly discussed, but assumed in most papers that knowledge is to be discussed and dissected and updated and revised. See eg [Morgan 2009] talk about uncertainty tho - frequentist is not always useful, see eg "uncertainty and decision making" in downloads. relationship with trustworthiness. dodgy fig 1.1 - 'amount of evidence' very subjective to investigating bias, eg posaitve bias in medical, and 'well established' is not the same as correct

Trustworthiness | picture

O'Hagan 2004 | Baxter 2009 | Eriksson 2009 | Morgan 2009


Understanding KD systems

Categories:

Learning about KD takes time; academic study can run years behind practice [de Castro Neto]

de, Castro & Neto


Understanding Process

Categories:

If you are not knowledgeable about it, then changing it can have unforeseen consequences. Similarly implementations; eg Bray''s controlled language; how does this cope with changed circumstances


Universality

That I can describe an experiment *here* that you can replicate *there*.

Categories:

Knowing what is universal (within the relevant space) and so can be transferred. With the solid sciences we know for example that gravity does not change much in a room, so we can run a ticker tape type experiment anywhere in it, and if we get different results we know that the there is something wrong with the equipment. Transferring between groups of people or cultures or projects or military operations is harder to work out what is universal between them and what is local


Unreliable

Categories:


Update Rates

Rate at which transfers are expected or enacted in order to update the Picture

Categories: Knowledge Transfer | Picture

Can lead to 'random drift' if the updates (especially learned behaviours, eg {Routines} in organisations) are changed before the situation was understood [Lounamaa & March 1987 via Levitt & March 1988]

Routines

Lounamaa & March 1987 via Levitt & March 1988


Validation

Categories:

Validation (eg Earl) - who validates shared knowledge [earl]

earl


Value

Categories:


Value-added

Categories:

beneficial, valuable, add value to operations. (3 items)


Veto Redundancy

Where more than one (ie redundant) assessment teams vote on a hypothesis, where any one vote by any one team against it means the group rejects it.

Categories:

See [Heiman] who called this a 'serial model' (as in logic gates). Vetos like this reduce the chance of Type I errors (accepting a hypothesis that is false) but increases the chance of Type II errors (rejecting a hypothesis that is true). See also the opposite: {Mandate Redundancy}

Mandate Redundancy

Heiman


Vicious KPI Feedback

Categories:

Where performance indicators are set, and then used to drive change directly. eg an admin booking code, and then pressure to reduce booking to that code rather than pressure to fix things that take admin time. So performance indicators change, but the same effort is still distracted, but is now hidden in other tasks


Video Taping

Categories:

[de Long]

de & Long


Visualisation

Extracting salient shapes and relationships to make use of the visual dissemination and assimilation instead of language assimilation

Categories: Assimilation

Common term. Military example in [Walker et al 2013] visualising human terrain, a particularly complex dataset and often alien to the analyst.

Walker & et al 2013


Vroomfondel Ambiguity

Specified uncertainty; knowing where the uncertainty is and is not

Categories: Quality | Trust

Bounded Ignorance; "We demand rigidly defined areas of doubt and uncertainty" [Adams] {Explicit Ignorance}

Explicit Ignorance

Adams


White Flag

Established procedures for allowing competitors to collaborate

Categories:

From Market Garden


Wildness

The degree to which an assessment is consistent with the given information (mostly) but far from 'normal' or 'mainstream' predictions

Categories:

Scenario generators from eg the Quick Wins Scenario Prediction method [DIA 2013] include 'wild' options to help think outside the normal.

DIA 2013


Work to Understand

Categories:

{Assimilation} [Markham]

Assimilation

Markham