Title: Influence of knowledge management enablers in manufacturing organisations: a multi-criteria decision making in Indian context

Authors: Hiteshkumar G. Shah; Ravi Kant

Addresses: Shri S'ad Vidya Mandal Institute of Technology, Old National Highway No – 8, Bharuch-392001, Gujarat, India ' Department of Mechanical Engineering, S.V. National Institute of Technology, Surat – 395007, India

Abstract: This paper intends to examine the impact of knowledge management enablers (KMEs) for enhancing the organisational performance of Indian manufacturing organisations using integrated fuzzy analytic hierarchy process (AHP) and fuzzy multi-objective optimisation by the ratio analysis (MOORA)-based framework. The fuzzy AHP is used to obtain the weights of the KMEs, and fuzzy MOORA is used to rank the manufacturing organisations practicing knowledge management (KM). The applicability of the proposed framework approach is established with empirical case study of four Indian bearing manufacturing organisations. The finding suggests that better implementation of KMEs results into the improved KM performance which results into enhanced organisational performance. This study reveals that how KM practices in the organisation influence their organisational performance.

Keywords: analytic hierarchy process; AHP; knowledge management; KM; knowledge management enablers; KMEs; multi-objective optimisation by the ratio analysis; MOORA.

DOI: 10.1504/IJBIS.2021.112394

International Journal of Business Information Systems, 2021 Vol.36 No.1, pp.21 - 49

Received: 12 Aug 2018
Accepted: 01 Nov 2018
Published online: 14 Jan 2021 *

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