QPLAN: Decision support for evaluating planning quality in software development projects

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dc.contributor.authorAmaral Féris, Marco Antônio
dc.date.accessioned2017-02-23T17:34:47Z
dc.date.available2017-02-23T17:34:47Z
dc.date.issued2017-02-20
dc.description.abstractDecisions about whether or not to approve a project plan for execution are critical. A decision to continue with a bad plan may lead to a failed project, whereas requesting unnecessary additional planning for an already high-quality plan may be counterproductive. However, these decisions can be influenced by psychological biases, such as the endowment effect, optimism bias and ambiguity effect, which are enhanced when uncertainty is substantial and information incomplete. As a result, a non-biased model for evaluating the quality of project planning is important to improve planning approval decisions and resource allocation. This paper introduces a novel artifact (QPLAN) that evaluates and improves planning quality, and a case study to demonstrate its effectiveness within a business environment.en_UK
dc.identifier.citationMarco Antônio Amaral Féris, Ofer Zwikael, Shirley Gregor, QPLAN: Decision support for evaluating planning quality in software development projects, Decision Support Systems, Vol. 96, April 2017, pp. 92-102en_UK
dc.identifier.issn0167-9236
dc.identifier.urihttp://dx.doi.org/10.1016/j.dss.2017.02.008
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/11485
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 3.0
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectDecision support toolen_UK
dc.subjectDual process theoryen_UK
dc.subjectPlanning qualityen_UK
dc.subjectSoftware projectsen_UK
dc.subjectPlanning-performance theoryen_UK
dc.titleQPLAN: Decision support for evaluating planning quality in software development projectsen_UK
dc.typeArticleen_UK

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