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A review of naturalistic decision making research with some implications for knowledge management

Peter Meso (Peter Meso is Assistant Professor, Department of Computer Information Systems, J. Mack Robinson College of Business, Atlanta, Georgia, USA.)
Marvin D. Troutt (Marvin D. Troutt is Professor and Director, Centre for Information Systems at the Department of Management and Information Systems, Graduate School of Management and College of Business Administration, Kent, Ohio, USA.)
Justyna Rudnicka (Justyna Rudnicka is Teaching Fellow, at the Department of Management and Information Systems, Graduate School of Management and College of Business Administration, Kent, Ohio, USA.)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 1 March 2002

3219

Abstract

In the last decade naturalistic decision making has been pursued by cognitive psychologists. The focus is on how human experts make decisions under conditions of time pressure and complexity; how they organize and use their knowledge is expected to provide principles for the emerging science of knowledge management. This paper surveys this research and discusses results, which indicate more attention needs to be given to: problem formulation; asking the right questions; use of teams; organization of knowledge; expanding scope of expert systems and case‐based reasoning. Also the method, cognitive task analysis, which is generally used in naturalistic decision making is readily adaptable to business knowledge management.

Keywords

Citation

Meso, P., Troutt, M.D. and Rudnicka, J. (2002), "A review of naturalistic decision making research with some implications for knowledge management", Journal of Knowledge Management, Vol. 6 No. 1, pp. 63-73. https://doi.org/10.1108/13673270210417709

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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