Title: Impact of knowledge flows on supply chain performance: an experiment on four Indian luggage manufacturing firms

Authors: Vishal A. Bhosale; Ravi Kant; Mark Goh

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 ' Department of Analytics and Operations, NUS Business School and The Logistics Institute-Asia Pacific, National University of Singapore, Singapore

Abstract: This paper seeks to investigate the role and impact of supply chain knowledge flow enablers (SCKFEs) in improving the supply chain performance of four luggage manufacturing firms. The paper applies fuzzy analytic hierarchy process (AHP) to obtain the weights of the SCKFEs, and fuzzy multi-objective optimisation by the ratio analysis (MOORA) to rank the firms practicing knowledge flows. A case study of four Indian luggage manufacturers suggests that the better the implementation of the SCKFEs, the better the knowledge flows and hence better supply chain performance. This study reveals how firms practicing knowledge flows influence their supply chain performance.

Keywords: knowledge flow; supply chain performance; multi-criteria decision making; MCDM; analytic hierarchy process; AHP; MOORA.

DOI: 10.1504/IJIDS.2020.108140

International Journal of Information and Decision Sciences, 2020 Vol.12 No.3, pp.270 - 298

Received: 29 Sep 2018
Accepted: 16 Feb 2019
Published online: 03 Jul 2020 *

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