ISSN: 2222-6990
Open access
This study analyse the field of digital supply chain through bibliometric analysis to uncover trends, gaps, and potential research directions. Using the Scopus database, 224 articles related to digital supply chain transformation were examined. Findings reveal significant research gaps, particularly in AI applications and digital supply chains in industries beyond agriculture and food. The study identifies influential authors, key articles, and top keywords, as well as collaboration networks within the field. Tools such as VOSviewer and BiblioMagika visualised co-authorship networks by authors and countries, along with citation patterns, providing a comprehensive overview of digital supply chain management. Limitations include reliance on the Scopus database, potentially missing relevant publications from other sources, and a keyword-based search approach that may exclude valuable research not precisely matching chosen terms. Additionally, timeframe constraints might miss earlier or recent developments, affecting analysis comprehensiveness. Despite these limitations, the findings highlight the transformative potential of digital technologies in supply chains, offering a roadmap for future research and practical applications. The implications emphasize the need for further exploration of AI integration and digital transformation across various industries. This study is original in its comprehensive evaluation of digital supply chain transformation using bibliometric analysis. It employs quantitative methods to analyse citation patterns, collaboration networks, and top keywords, providing a holistic view of the field. By focusing on emerging technologies and managerial challenges, the study offers valuable insights for researchers and industry professionals, contributing to the advancement of digital supply chain practices.
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