Exploring Knowledge Strategy Dimensions Using Fuzzy AHP

Ali Abdollahi, Maryam Mohseni and Seyed Siadat

International Journal of Management, Accounting and Economics, 2017, vol. 4, issue 1, 1-16

Abstract: Living in knowledge-based world and increasing competition between companies- especially in IT-based companies- in determining the best knowledge strategy lead to more attention to this concept. The purpose of this paper is to review previous studies on knowledge strategy and its dimensions. Then, after categorizing these dimensions, a popular multi-criteria decision-making (MCDM) method- AHP- in Fuzzy environment is used to evaluate dimensions of knowledge strategy (KS). The results show that knowledge sourcing, learning sourcing, learning speed are more effective dimensions of knowledge strategy. As every organization has a leading dimension in KS, IT-based companies should focus on these dimensions for better developing knowledge strategy.

Keywords: Knowledge Strategy (KS); Learning; Knowledge Sourcing; Fuzzy set; AHP (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:air:journl:v:4:y:2017:i:1:p:1

DOI: 10.5281/zenodo.17505186

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