Supply chain performance: a novel integrated decision-making model
ISSN: 0025-1747
Article publication date: 28 August 2023
Issue publication date: 24 October 2023
Abstract
Purpose
Knowledge management (KM) significantly affects supply chain management (SCM) and its performance in today's highly competitive corporate climate. It is crucial to consider this relationship to achieve optimal supply chain performance (SCP). This study aims to assess this impact by defining and examining the multi-dimensional relationships between KM Process Elements (KMPEs) and SCP Evaluation Criteria (SCPEC) within a comprehensive theoretical framework.
Design/methodology/approach
Integrating KMPEs and SCPEC becomes an uncertain decision-making problem due to data deficiency and the vagueness of decision-makers’ judgments. To address uncertainties, this study uses interval-valued neutrosophic (IVN) sets and proposes an IVN model consisting of SWARA, which is one of the effective multi-criteria decision-making (MCDM) approaches, and house of quality (HOQ) methods. IVN-SWARA is used to weight the SCPEC while IVN-HOQ establishes relationships and prioritizes the KMPEs and SCPEC.
Findings
The results show that reliability is the most significant SCP evaluation criterion. Among the KMPEs, capitalization, sharing, and transfer exhibit stronger associations with the SCPEC compared to the other elements. Capitalization as one of the KMPEs was found to be the most critical one, and efficiency is the criterion most affected by all elements of the KM process.
Originality/value
This study uses innovative methodologies to evaluate the adoption of KM processes on SCP under uncertain environments and involving multi-decision-makers. The proposed integrated model demonstrates flexibility and practicality in combining KM and SCM, leading to improved SCP. Notably, this study presents the development of IVN-SWARA and the use of the integrated IVN-SWARA - IVN-HOQ decision tool, which are novel contributions to the existing literature.
Keywords
Acknowledgements
This work was supported by the 2021 special fund project for scientific and technological innovation of Fujian Agriculture and Forestry University (KCX21F13A).
Citation
Zhong, J., Cheng, H., Gholami, H., Letchumanan, L.T. and Toptancı, Ş. (2023), "Supply chain performance: a novel integrated decision-making model", Management Decision, Vol. 61 No. 10, pp. 3053-3081. https://doi.org/10.1108/MD-07-2022-0961
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited