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Exploring Knowledge Strategy Dimensions Using Fuzzy AHP

Author

Listed:
  • Ali Abdollahi
  • Maryam Mohseni
  • Seyed Siadat

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.

Suggested Citation

Handle: RePEc:air:journl:v:4:y:2017:i:1:p:1
DOI: 10.5281/zenodo.17505186
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