Technology for Sustainable Supply Chain Management: A Bibliometric Analysis of Two Decades of Research

Gumilang, Zahwa Fitria; Ceha, Rakhmat; Septiawati, Vera

doi:10.22068/ijiepr.37.1.2446

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‎ 10.22068/ijiepr.37.1.2446

Technology for Sustainable Supply Chain Management: A Bibliometric Analysis of Two Decades of Research

Zahwa Fitria Gumilang¹

, Rakhmat Ceha²

, Vera Septiawati²

1- Bandung Islamic University , zahwafitriagumilang@unisba.ac.id
2- Bandung Islamic University

Abstract: (345 Views)

The imperative to align supply chains with sustainability objectives has intensified interest in the technological dimensions of sustainable supply chain management (SSCM). To provide a systematic overview of how this research area has evolved, this study conducts a bibliometric analysis of publications from 2005 to 2025, drawing on data from Scopus and Web of Science (WoS). The results demonstrate that technologies such as blockchain, artificial intelligence, big data analytics, and the Internet of Things have received the most attention, shaping the trajectory of SSCM research. Publication and citation trends show exponential growth after 2016, reflecting both global policy shifts and accelerated digital adoption during the COVID-19 pandemic. The United Kingdom and China lead in research output, while the United States demonstrates high citation impact. Several highly cited publications serve as intellectual anchors, shaping theoretical and methodological development. Keyword analysis and bibliographic coupling further reveal five dominant knowledge clusters: digital transformation for SSCM, life cycle thinking, policy in SSCM, blockchain for food sustainability, and sustainable product design. Overall, the study highlights technological trajectories, underexplored research areas, and regional disparities, providing theoretical and practical guidance for future interdisciplinary research, policy design, and technology adoption aimed at advancing sustainable and resilient supply chains.

Keywords: Technology, Sustainable supply chain management, Bibliometric analysis, Scopus-database, Web of Science (WOS)-database, VOSviewer