Digital Twin in Supply Chain Management: A Comprehensive Bibliometric Review

Gulsah Hancerliogullari Koksalmis () and Emrah Koksalmis
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Gulsah Hancerliogullari Koksalmis: University of Central Florida, Department of Industrial Engineering and Management Systems
Emrah Koksalmis: Turkish Air Force Academy, National Defense University, Department of Industrial Engineering

Chapter Chapter 2 in Optimizing Supply Chains Through Digital Twins, 2025, pp 7-22 from Springer

Abstract: Abstract The incorporation of Digital Twin (DT) technology into Supply Chain Management (SCM) represents a paradigm shift, offering enhanced efficiency, resilience, and strategic insights for managing global supply networks. This study provides an extensive bibliometric analysis, highlighting key trends, research themes, influential authors, and leading institutions in this dynamic domain. The analysis utilizes a dataset of scholarly publications from 2014 to 2025, sourced from the Scopus database, a reliable repository for academic research. By employing bibliometric techniques such as co-citation analysis, bibliographic coupling, collaboration mapping, and keyword co-occurrence analysis, the study identifies pivotal contributors, prominent institutions, and impactful nations based on citation metrics. The findings offer a comprehensive overview of DT applications in SCM, equipping researchers, practitioners, and policymakers with actionable insights to leverage this technology for optimizing supply chain performance.

Keywords: Bibliometric analysis; Supply chain management; Digital twin; Scopus; VOSviewer (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-032-08147-6_2

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DOI: 10.1007/978-3-032-08147-6_2

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