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PurposeThe main purpose of this study is to identify the barriers of Knowledge Management (KM) implementation in Alborz Province industrial Parks Corporation (APIPC) and prioritize them using Fuzzy Analytical Network Process(FANP).Design/methodology/approachThrough an in-depth review of the literature on KM and researcher findings from observations and interviews with experts, the main barriers of KM implementation, namely, organizational culture, organizational structure, human resource, technology, and miscellaneous factors along with their related factors in the surveyed organization were identified. Then, based on the information gathered, an expert questionnaire was developed. Finally the priority of each main barrier and their sub-factors were determined using Fuzzy Analytical Network Process (FANP).FindingsThe results show that human resource and organizational culture factors with the weights of 0.66 and 0.22 respectively have the highest ranking and therefore are the most important barriers. And the technology factor with the weight of 0.00002 is the least important barrier in implementing KM in the surveyed corporation.Research limitations/implicationsOne of the limitations of this study is the eneralizability of the findings, which may be limited by the single case study method used.Originality/valueThere are fewer studies about KM barriers specifically with a focus on prioritizing them in organizations, especially in the context of Iran as a developing country. This study develops a comprehensive and solid mathematical technique in order to prioritize the identified barriers of KM implementation in the context of Iran.
VINE Journal of Information and Knowledge Management Systems – Emerald Publishing
Published: Aug 8, 2016
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