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Antecedents and performance implications of knowledge management in supply chains: a meta-analysis

Antecedents and performance implications of knowledge management in supply chains: a meta-analysis This research investigates the intersection of knowledge management (KM) and supply chain management (SCM) to provide a better understanding of supply chain knowledge management (SCKM). This research creates a nomological network that encapsulates the antecedents and performance implications of SCKM. Developed based on 58 published empirical studies on SCKM, the nomological network identifies three main functions for KM, 11 antecedents for the functions of KM, and four groups of performance implications for SCKM. The nomological network is tested using a meta-analysis approach. The method reassesses the existing literature and, while justifies the reliability of some of the findings, retracts some prior tested hypotheses. For instance, the meta-analysis shows that the effect sizes of IT infrastructure and trust, which are two antecedents of SCKM, on knowledge creation and acquisition are small and not reliable. Such findings signify the need for further investigation and show the direction for future research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Knowledge Management Studies Inderscience Publishers

Antecedents and performance implications of knowledge management in supply chains: a meta-analysis

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1743-8268
eISSN
1743-8276
DOI
10.1504/IJKMS.2021.118348
Publisher site
See Article on Publisher Site

Abstract

This research investigates the intersection of knowledge management (KM) and supply chain management (SCM) to provide a better understanding of supply chain knowledge management (SCKM). This research creates a nomological network that encapsulates the antecedents and performance implications of SCKM. Developed based on 58 published empirical studies on SCKM, the nomological network identifies three main functions for KM, 11 antecedents for the functions of KM, and four groups of performance implications for SCKM. The nomological network is tested using a meta-analysis approach. The method reassesses the existing literature and, while justifies the reliability of some of the findings, retracts some prior tested hypotheses. For instance, the meta-analysis shows that the effect sizes of IT infrastructure and trust, which are two antecedents of SCKM, on knowledge creation and acquisition are small and not reliable. Such findings signify the need for further investigation and show the direction for future research.

Journal

International Journal of Knowledge Management StudiesInderscience Publishers

Published: Jan 1, 2021

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