Application of fuzzy methods in green and sustainable supply chains: critical insights from a systematic review and bibliometric analysis

IF 4.5 Q1 MANAGEMENT

Benchmarking-An International Journal Pub Date : 2023-07-21 DOI:10.1108/bij-09-2022-0563

D. Nirmal, K. Nageswara Reddy, S. Singh

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引用次数: 2

Abstract

PurposeThe main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).Design/methodology/approachThe present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.FindingsThe authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.Originality/valueThe authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.

查看原文本刊更多论文

模糊方法在绿色和可持续供应链中的应用:来自系统回顾和文献计量分析的关键见解

本研究的主要目的是对模糊方法在建模、评估和理解绿色和可持续供应链(ssc)各个方面的应用进行全面的回顾和批判性的见解。设计/方法/方法本研究对252篇研究论文进行了系统文献综述(SLR)和文献计量学分析。本研究使用了各种工具，如VOSviewer version 1.6.10、Publish or Perish、Mendeley和Excel，这些工具有助于描述性分析、文献计量分析和网络可视化。这些工具已用于执行引文分析，顶级作者分析，关键词共现，聚类和内容分析。作者将文献分为七个应用领域，并讨论了详细的见解。本研究发现，在社会可持续性领域，包括健康和安全、劳工权利、歧视等各种问题的研究很少。工业4.0技术如区块链、大数据分析、物联网(IoT)与可持续和绿色供应链(GSC)的整合是未来研究的一个有前途的领域。作者的贡献主要在于提供了一个综合框架，该框架显示了在可持续发展领域中使用模糊方法的变化趋势，对模糊方法主要应用的七个主要领域的绿色和可持续供应链管理(SSCM)文献进行分类和整合。这些领域是在对文献的聚类分析和内容分析之后获得的，这些文献展示了过去的关键见解，并为未来的研究发展了概念框架。

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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来源期刊

Benchmarking-An International Journal MANAGEMENT-

CiteScore

10.40

自引率

16.10%

发文量

154

期刊介绍： Benchmarking is big news for companies committed to total quality programmes. Its enthusiastic reception by many prominent business figures has created high levels of interest in a technique which promises big rewards for co-operating partners. Yet, like total quality itself, it must be understood in its proper context, and implemented single mindedly if it is to be effective - this journal helps companies to decide if benchmarking is right for them, and shows them how to go about it successfully.