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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4258

Title: Knowledge dependencies in fuzzy information systems evaluation
Authors: Sharif, A M
Irani, Z
Keywords: Fuzzy cognitive mapping
Information systems evaluation
Knowledge management
Publication Date: 2005
Publisher: AMCIS’05
Citation: Proceedings of the 11th Americas Conference on Information Systems (AMCIS’05) , Atlanta, USA, 11th – 14th August 2005, pp.1574–1583
Abstract: Experience and research within the field of Information Systems Evaluation (ISE), has traditionally centered on providing tools and techniques for investment justification and appraisal, based upon explicit knowledge which encodes financial and other direct situational factors (such as accounting, costing and risk metrics). However, such approaches tend not to include additional causal interdependencies that are based upon tacit knowledge and are inherent within such a decision-making task. The authors show the results of applying a cognitive mapping approach, in the guise of a Fuzzy Cognitive Mapping (FCM) simulation, i.e. Fuzzy Information Systems Evaluation (F-ISE), in order to highlight the usefulness of applying such a technique. The authors highlight those contingent and necessary knowledge dependencies, in an exploratory sense, which relate to the investment appraisal decision-making task, in terms of the interplay between tacit and explicit knowledge, in this regard.
URI: http://bura.brunel.ac.uk/handle/2438/4258
Appears in Collections:Business and Management
Brunel Business School Research Papers

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