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.

中文翻译：

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供应链整合的知识轨迹与结构：一条主路径与聚类分析

目的

供应链整合 (SCI) 在供应链战略中占据主导地位，并受到越来越多的学术关注。本文的目的是对 SCI 领域的知识轨迹和结构进行系统回顾。

设计/方法/途径

本文基于从 Web of Science (WoS) 中提取的 3,533 篇论文，采用主路径分析 (MPA) 方法检测三种不同的知识发展轨迹。基于耦合的聚类与 MPA 相结合，揭示了三个关键子领域。

发现

结果表明，SCI的定义、内容和维度缺乏统一的结论。SCI的影响因素和绩效后果是长期存在的研究要素。构建理论模型和集成系统，应用区块链技术提升SCI是重点研究内容。合作与SCI的交织不可忽视，绿色SCI可能是未来的热门话题。

研究局限性/影响

本研究基于 WoS 收集的有限文献而不是所有已发表的论文来探索 SCI 领域的知识。可能存在一些相关论文和书籍的遗漏。

实际影响

该研究方法为未来类似研究提供了框架，研究结果有助于研究人员全面了解 SCI 领域的知识轨迹和结构。

原创性/价值

与现有综述相比，MPA 结合聚类分析开发了 SCI 领域知识轨迹和结构的综合框架。它有助于系统地回顾SCI的发展。