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Title:
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A GROUP BASED FUZZY TOPSIS APPROACH TO SELECTING A KNOWLEDGE MANAGEMENT STRATEGY |
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Author(s):
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S. Farid Mousavi , Amir Sanayei |
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ISBN:
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978-972-8924-78-2 |
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Editors:
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Piet Kommers and Pedro Isaías |
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Year:
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2009 |
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Edition:
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2 |
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Keywords:
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Knowledge Management Strategy, TOPSIS, fuzzy theory |
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Type:
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Short Paper |
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First Page:
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210 |
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Last Page:
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214 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Many scholars and practitioners recognize the power of Knowledge Management (KM) initiatives in organizations performance but insufficient attention has been paid by researchers to select suitable KM strategy models. This paper describes a methodology for selecting a KM strategy based on TOPSIS technique. In general, some quantitative and qualitative factors must be considered to determine strategy. In this paper, linguistic values are used to assess the ratings and weights for those factors. In addition, the preferences of more than one decision maker are internally aggregated in to the strategy selection problem therefore an extension of TOPSIS to a group decision environment is investigated. To illustrate how the approach is used for the KM strategy selection problem, an empirical study of a real case is conducted. |
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