Title: Selection of best knowledge flow practicing organisation using hybrid fuzzy AHP-VIKOR method

Authors: Vishal A. Bhosale; Ravi Kant

Addresses: Department of Mechanical Engineering, S.V. National Institute of Technology, Surat-395007, India ' Department of Mechanical Engineering, S.V. National Institute of Technology, Surat-395007, India

Abstract: The purpose of the study is to understand organisational knowledge flow practices and thereby decide whether selected organisation would better hold the knowledge flow practices by using hybrid fuzzy analytic hierarchy process (AHP) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methodology. A search of the literature has been conducted to identify various organisational knowledge flow enablers (KFEs). The expert opinions from industries and academics were taken to validate the KFEs and to evaluate the alternatives. The weights of KFEs are determined by AHP method using fuzzy pairwise comparison matrices and selection of best organisational knowledge flow alternative using fuzzy VIKOR method. This paper identified 25 KFEs which have been segmented for better organisational knowledge flow. The empirical study of Indian manufacturing industries is carried out to study of the best organisational knowledge flow practices. This is a first of its kind study that identified 25 organisational KFEs through literature review and validated with expert opinion. The originality of the paper comes from the application of the hybrid fuzzy AHP and fuzzy VIKOR methodology for selecting best industry which implemented organisational knowledge flow practices.

Keywords: organisational knowledge flow; knowledge flow enablers; KFEs; fuzzy AHP; analytical hierarchy process; FAHP; fuzzy VIKOR; India; manufacturing industry.

DOI: 10.1504/IJDSRM.2014.067596

International Journal of Decision Sciences, Risk and Management, 2014 Vol.5 No.3, pp.234 - 262

Received: 14 Jan 2014
Accepted: 19 May 2014

Published online: 18 Feb 2015 *

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