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Title: The contribution of knowledge management process capability on supply chain performance: a general review in Malaysia

Authors: Pik Yin Foo

Addresses: Department of Commerce and Accountancy, Universiti Tunku Abdul Rahman (Kampar Campus), Jalan Universiti, Bandar Barat, 31900 Kampar, Perak, Malaysia

Abstract: The contribution of knowledge management process capability (knowledge sources, knowledge generation, knowledge storage, knowledge exchange and knowledge application) on supply chain performance (flexibility, resource and output performances) remain largely unexplored, particularly in the context of Malaysian manufacturing firms. Thus, this study aims to investigate the separate and collective magnitude of contribution of selected elements of knowledge management process capability on supply chain performance among the manufacturing firms in Malaysia as per Federation of Malaysian Manufacturers Directory 2015. None of the past studies has incorporated all of these five elements of knowledge management process capability in a single research and the collective contribution of these selected elements of knowledge management process capability on supply chain performance is not well-established. Hence, the proposed research framework is deemed to have the capability in delivering superior values to both academics and industry practitioners alike in terms of establishing a set of 'best practices' that may serve as a benchmark across the industries; provided that a strong linkage between the chosen set of knowledge management process capability and supply chain performance can be indisputably established. However, whether the proposed framework can be generalised across all industries remains a very good area to be further explored.

Keywords: supply chain flexibility; knowledge application; knowledge exchange; knowledge generation; knowledge management; process capability; knowledge sources; knowledge storage; output performance; resource performance; supply chain performance; supply chain management; SCM; Malaysia; manufacturing industry.

DOI: 10.1504/IJMOM.2016.081340

International Journal of Modelling in Operations Management, 2016 Vol.6 No.1/2, pp.3 - 18

Available online: 04 Jan 2017 *

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