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The knowledge trajectory and structure of the supply chain integration: a main path and cluster analysis

Dejian Yu (School of Business, Nanjing Audit University, Nanjing, China)
Anran Fang (School of Business, Nanjing Audit University, Nanjing, China)

Journal of Enterprise Information Management

ISSN: 1741-0398

Article publication date: 30 March 2023

Issue publication date: 13 June 2023

321

Abstract

Purpose

Supply chain integration (SCI) dominates supply chain strategy and is receiving increasing academic attention. The purpose of this paper is to provide a systematic review of the knowledge trajectory and structure of the SCI field.

Design/methodology/approach

Based on 3,533 papers extracted from the Web of Science (WoS), this paper adopts the main path analysis (MPA) method to detect three distinct knowledge development trajectories. Coupling-based clustering is combined with MPA to reveal three critical subfields.

Findings

The findings show that the definition, content and dimensions of SCI lack unified conclusions. The influencing factors and performance consequences of SCI are long-standing research elements. Building theoretical models and integrated systems and applying blockchain technology to improve SCI are the key research contents. The intertwining of collaboration and SCI cannot be ignored, and the green SCI may be a hot topic in the future.

Research limitations/implications

This study explores knowledge in the SCI field based on the limited literature collected by WoS rather than all published papers. The omissions of some relevant papers and books may exist.

Practical implications

The study methodology provides a framework for similar studies in the future, and the results help researchers to get a comprehensive picture of the knowledge trajectory and structure of the SCI field.

Originality/value

Compared to existing reviews, MPA combines cluster analysis to develop a synthetic framework of the knowledge trajectory and structure in the SCI domain. It contributes to a systematic review of the development of SCI.

Keywords

Acknowledgements

This manuscript was supported by the Postgraduate Research and Practice Innovation Program of Jiangsu Province (No. SJCX22_0983).

Citation

Yu, D. and Fang, A. (2023), "The knowledge trajectory and structure of the supply chain integration: a main path and cluster analysis", Journal of Enterprise Information Management, Vol. 36 No. 4, pp. 1056-1079. https://doi.org/10.1108/JEIM-11-2022-0404

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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