Browsing by Author "Schiller, Frank"
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Item Open Access Effective risk governance for environmental policy making: a knowledge management perspective(Elsevier, 2014-05-24) Mauelshagen, Craig William; Smith, Mark; Schiller, Frank; Denyer, David; Rocks, Sophie A.; Pollard, Simon J. T.Effective risk management within environmental policy making requires knowledge on natural, economic and social systems to be integrated; knowledge characterised by complexity, uncertainty and ambiguity. We describe a case study in a (UK) central government department exploring how risk governance supports and hinders this challenging integration of knowledge. Forty-five semi-structured interviews were completed over a two year period. We found that lateral knowledge transfer between teams working on different policy areas was widely viewed as a key source of knowledge. However, the process of lateral knowledge transfer was predominantly informal and unsupported by risk governance structures. We argue this made decision quality vulnerable to a loss of knowledge through staff turnover, and time and resource pressures. Our conclusion is that the predominant form of risk governance framework, with its focus on centralised decision-making and vertical knowledge transfer is insufficient to support risk-based, environmental policy making. We discuss how risk governance can better support environmental policy makers through systematic knowledge management practices.Item Open Access Hidden flows and waste processing - an analysis of illustrative futures(Taylor & Francis, 2010-12-14T00:00:00Z) Schiller, Frank; Angus, Andrew; Billington, Stephen; Herben, Martin; Raffield, Thomas; Young, P. J.; Longhurst, Philip J.; Pollard, Simon J. T.An existing materials flow model is adapted (using Excel™ and AMBER™ model platforms) to account for waste and hidden material flows within a domestic environment. Supported by national waste data, the implications of legislative change, domestic resource depletion and waste technology advances are explored. The revised methodology offers additional functionality for economic parameters that influence waste generation and disposal. We explore this accounting system under hypothetical future waste and resource management scenarios, illustrating the utility of the model. A sensitivity analysis confirms that imports, domestic extraction and their associated hidden flows impact mostly on waste generation. The model offers enhanced utility for policy and decision makers with regard to economic mass balance and strategic waste flows, and may promote further discussion about waste technology choice in the context of reducing carbon budg