Investigating Current Paradigms in Supply Chain Risk Management – A Bibliometric Study

Irene Kilubi
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引用次数: 34

Abstract

– The purpose of this paper is to analyse the intellectual structure and research fronts of discipline of supply chain risk management (SCRM), in order to identify the knowledge groups in the research area to date, as well as to reveal any relationships between these subfields and the central influential trends. , – By means of a bibliometric study, the 32 most co-cited articles on SCRM published in 16 top business-related academic journals are analysed using multivariate statistical techniques, i.e. multi-dimensional scaling, cluster analysis and correspondence factor analysis. , – The results demonstrate a clearly identifiable structure as a result of the performed co-citation analysis. The conducted cluster analysis and factor bring forward that the research field is arranged in five different areas of interest: explaining supply chain (SC) risk phenomena, concepts, frameworks and insights of SCRM; modelling risks for SCs; inventory risks affecting supply efficiency; SC and product design methods; and SC risk mitigating strategies. , – Overall, the intellectual structure of SCRM is first examined through a bibliometric approach using quantitative techniques – for improved understanding of its origins, and to identify the state of the science – and to offer suggestions for future studies that could cover current gaps. This study represents the potential to advance the SCRM literature landscape.
调查供应链风险管理的当前范例-文献计量学研究
-本文的目的是分析供应链风险管理(SCRM)学科的知识结构和研究前沿,以确定迄今为止研究领域的知识群体,以及揭示这些子领域与核心影响趋势之间的任何关系。-通过文献计量学研究,采用多元统计技术,即多维标度分析、聚类分析和对应因子分析,对16份顶级商业学术期刊上发表的32篇共被引最多的SCRM文章进行了分析。-通过共被引分析,结果显示了一个清晰可识别的结构。通过聚类分析和因子分析,将研究领域划分为五个不同的兴趣领域:解释供应链(SC)风险现象、概念、框架和见解;SCs的建模风险;影响供应效率的库存风险;供应链与产品设计方法;和供应链风险缓解策略。总体而言,SCRM的知识结构首先通过使用定量技术的文献计量学方法进行检查,以提高对其起源的理解,并确定科学状况,并为未来的研究提供建议,以弥补当前的差距。这项研究代表了推进SCRM文学景观的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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