Digital Transformation in Supply Chain Management: A Bibliometric Analysis

Handle

https://riunet.upv.es/handle/10251/208633

Cita bibliográfica

Zhang, L.; Banihashemi, S.; Rui, A.; Chen, S. (2024). Digital Transformation in Supply Chain Management: A Bibliometric Analysis. Editorial Universitat Politècnica de València. 53-61. https://doi.org/10.4995/CARMA2024.2024.17803

Titulación

Resumen

[EN] In an era dominated by digital advancements, Supply Chain Management (SCM) is undergoing significant transformations. This study aims to outline a digitally-enabled SCM framework by examining prevalent research themes, methodologies, collaboration models, and groundbreaking contributions. Leveraging bibliometric analysis techniques, 600 articles from 2002 to 2023, sourced from 3 top databases, was conducted using CiteSpace for keyword analysis, co-citation analysis, and emerging term evaluations. The research identifies three distinct phases in this field: initial, incremental, and accelerated, with a notable surge in research activity post-2017, particularly after 2019. China, the US, and the UK are major contributors. Dominant topics include technology integration, efficiency, globalization challenges, strategic management, and sustainability. The study reveals limited collaboration among authors but highlights influential scholars. Given the centrality of DT, it emphasizes the need for interdisciplinary exploration and consideration of rapidly evolving digital paradigms in future research endeavors.

Fuente

6th International Conference on Advanced Research Methods and Analytics (CARMA 2024) isbn: 9788413962016

Editorial

Editorial Universitat Politècnica de València

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