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Expertise and Decision Support (Modern Analytical Chemistry) - Hardcover

 
9780306438622: Expertise and Decision Support (Modern Analytical Chemistry)

Inhaltsangabe

This volume brings together a range of contributors from Europe and North America. All contributions were especially commissioned with a view to e- cidating a major multidisciplinary topic that is of concern to both academics and practitioners. The focus of the book is on expert judgment and its interaction with decision support systems. In the first part, the nature of expertise is discussed and characteristics of expert judges are described. Issues concemed with the eval- tion of judgment in the psychological laboratory are assessed and contrasted with studies of expert judgment in ecologically valid contexts. In addition, issues concerned with eliciting and validating expert knowledge are discussed. Dem- strations of good judgmental performance are linked to situational factors such as feedback cycles, and measurement of coherence and reliability in expert ju- ment is introduced as a baseline determinant of good judgmental performance. Issues concerned with the representation of elicited expert knowledge in kno- edge-based systems are evaluated and methods are described that have been shown to produce improvements in judgmental performance. Behavioral and mathematical ways of combining judgments from multiple experts are compared and contrasted. Finally, the issues developed in the preceding contributions are focused on current controversies in decision support. Expert judgment is utilized as a major input into decision analysis, forecasting with statistical models, and expert s- tems.

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Über die Autorin bzw. den Autor

George Wright is currently Professor of Management at Durham Business School, University of Durham, UK. He has consulted and provided management development programmes on scenario thinking and decision making with organizations such as Bayer, EADS, Petronas, Scottish Power, Thales, United Utilities, and national and local government in the UK. He has published on scenario thinking in international journals, including Futures, Technological Forecasting and Social Change, International Journal of Forecasting, Journal of Management Studies, and Organization Studies.George Cairns is currently Head of School of Management at RMIT University, Australia. He has worked with scenario method and delivered workshops for organizations including National Air Traffic Services, South East England Development Agency, the Facility Management Association of Australia, and the Risk Management Institution of Australasia. He has contributed to a project exploring higher education futures for Romania, funded by the European Social Fund, and has published in international journals, including Technological Forecasting and Social Change and Futures.Both authors can be contacted by e-mail via: scenariothinkers@gmail.com

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This volume brings together a range of contributors from Europe and North America. All contributions were especially commissioned with a view to e- cidating a major multidisciplinary topic that is of concern to both academics and practitioners. The focus of the book is on expert judgment and its interaction with decision support systems. In the first part, the nature of expertise is discussed and characteristics of expert judges are described. Issues concemed with the eval- tion of judgment in the psychological laboratory are assessed and contrasted with studies of expert judgment in ecologically valid contexts. In addition, issues concerned with eliciting and validating expert knowledge are discussed. Dem- strations of good judgmental performance are linked to situational factors such as feedback cycles, and measurement of coherence and reliability in expert ju- ment is introduced as a baseline determinant of good judgmental performance. Issues concerned with the representation of elicited expert knowledge in kno- edge-based systems are evaluated and methods are described that have been shown to produce improvements in judgmental performance. Behavioral and mathematical ways of combining judgments from multiple experts are compared and contrasted. Finally, the issues developed in the preceding contributions are focused on current controversies in decision support. Expert judgment is utilized as a major input into decision analysis, forecasting with statistical models, and expert s- tems.

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