This paper aims to perform a hybrid study with a focus on empirical modeling (EM) and its applications in sustainable supply chain management (SSCM) concepts using bibliometric, network, thematic, and content analyses. The outcomes provide a viewpoint on literature categorization and several innovative insights and perspectives into contemporary research trends in this field. The review is undertaken using 2192 out of more than 24,000 research papers that are extracted and sifted from the Scopus and WoS databases. The results indicate an annual growth rate of 17.65% for the subject under consideration, which holds considerable significance and portends a promising outlook for the field. Seven clusters of papers are identified: (1) SSCM and design using versatile empirical approaches; (2) socially and environmentally responsible SCM and design; (3) new theories and impacts of SSCM integration; (4) data science, predictive analytics, and big data for SC sustainability; (5) closed loop SC roles in bringing sustainability; (6) SSCM during disasters with respect to humanitarian aspects; and (7) linkages between Industry 5.0, digital technologies, circular economy, and SSCM. In this review, fundamental ideas are established, research gaps are identified, and multiple future research subjects are proposed. In addition, important topics are presented for managers and practitioners to consider when adopting EM principles in SSCM. The results contribute to both theoretical and practical management elements and give a solid road map for future study in this sector. This study provides an overview of the evolution of EM and its applications in SSCM concepts; it also particularly elaborates on general pertinent research dimensions, SSCM, sustainability practices, and EM aspects.

中文翻译：

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可持续供应链管理的实证建模方法：文献计量和网络分析的回顾


本文旨在进行一项混合研究，重点是实证建模（EM）及其在可持续供应链管理（SSCM）概念中的应用，使用文献计量、网络、主题和内容分析。研究结果提供了文献分类的观点以及对该领域当代研究趋势的一些创新见解和观点。此次审查使用了从 Scopus 和 WoS 数据库中提取和筛选的 24,000 多篇研究论文中的 2192 篇。结果表明，该课题的年增长率为17.65%，具有相当大的意义，预示着该领域的广阔前景。确定了七组论文：（1）使用通用经验方法的 SSCM 和设计； (2) 对社会和环境负责的供应链管理和设计； (3) SSCM整合的新理论和影响； (4) 数据科学、预测分析和大数据促进可持续发展； (5) 闭环供应链在实现可持续发展方面的作用； (6) 灾害期间人道主义方面的SSCM； (7) 工业 5.0、数字技术、循环经济和 SSCM 之间的联系。在这篇综述中，建立了基本思想，确定了研究差距，并提出了多个未来的研究课题。此外，还提出了管理者和从业者在 SSCM 中采用 EM 原则时需要考虑的重要主题。研究结果对理论和实践管理要素都有贡献，并为该领域的未来研究提供了坚实的路线图。本研究概述了 EM 的演变及其在 SSCM 概念中的应用；它还特别阐述了一般相关研究维度、SSCM、可持续性实践和 EM 方面。