Antecedents and performance implications of knowledge management in supply chains: a meta-analysis
by Mohammad Daneshvar Kakhki; Reza Mousavi; Muhammad A. Razi; J. Michael Tarn
International Journal of Knowledge Management Studies (IJKMS), Vol. 12, No. 4, 2021

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.

Online publication date: Fri, 22-Oct-2021

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