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Digital Transformation and Sustainability in Post-Pandemic Supply Chains: A Global Bibliometric Analysis of Technological Evolution and Research Patterns (2020–2024)

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  • Gary Christiam Farfán Chilicaus

    (Escuela de Ingeniería Industrial, Universidad César Vallejo, Chepén 13871, Peru)

  • Gladys Sandi Licapa-Redolfo

    (Grupo de Investigación en Ecología Evolutiva, Protección de Cultivos, Remediación Ambiental, y Biotecnología (EPROBIO), Universidad Privada del Norte, Trujillo 13006, Peru)

  • Marco Agustín Arbulú Ballesteros

    (Instituto de Investigación en Ciencias y Tecnología, Universidad César Vallejo, Campus Chepén-Chiclayo, Trujillo 13001, Peru)

  • Christian David Corrales Otazú

    (Facultad de Ciencias de la Empresa, Universidad Continental, Arequipa 04002, Peru)

  • Sarita Jessica Apaza Miranda

    (Facultad de Ciencias de la Empresa, Universidad Continental, Arequipa 04002, Peru)

  • Marcos Marcelo Flores Castillo

    (Facultad de Ciencias Empresariales y Turismo, Universidad Nacional de Frontera, Sullana 20103, Peru)

  • Gabriela Lizeth Castro Ijiri

    (Instituto de Investigación en Ciencias y Tecnología, Universidad César Vallejo, Campus Chepén-Chiclayo, Trujillo 13001, Peru)

  • María De los Ángeles Guzmán Valle

    (Escuela de Ingeniería de Sistemas, Universidad Tecnológica del Perú, Chiclayo 14011, Peru)

  • Julie Catherine Arbulú Castillo

    (Instituto de Investigación en Ciencias y Tecnología, Universidad César Vallejo, Campus Chepén-Chiclayo, Trujillo 13001, Peru)

Abstract

This systematic review examines digital transformation in post-pandemic supply chains through a bibliometric analysis of literature from 2020 to 2024. Using the PRISMA protocol, we analyzed publications from Scopus, Web of Science, and ScienceDirect databases. Results show that sustainability has become the dominant keyword in digital transformation research, with China, the United States, and India forming the main research triangle. The most influential technologies driving transformation are big data, blockchain, artificial intelligence, and Internet of Things (IoT). Co-citation network analysis revealed three major research clusters: the green cluster led by Gunasekaran and Angappa focusing on supply chain management; the red cluster led by Rahman and Muhammad Saddiq addressing implementation aspects; and the blue cluster led by Calatayud and Rodriguez examining innovation and adaptation. Organizations are shifting from purely operational approaches to more holistic transformations that integrate strategic and organizational dimensions. We identified important research gaps in developing regions and in the integration of emerging technologies with existing systems. This review enhances the understanding of post-pandemic supply chain digitization while providing a framework for future research in this rapidly evolving field.

Suggested Citation

  • Gary Christiam Farfán Chilicaus & Gladys Sandi Licapa-Redolfo & Marco Agustín Arbulú Ballesteros & Christian David Corrales Otazú & Sarita Jessica Apaza Miranda & Marcos Marcelo Flores Castillo & Gabr, 2025. "Digital Transformation and Sustainability in Post-Pandemic Supply Chains: A Global Bibliometric Analysis of Technological Evolution and Research Patterns (2020–2024)," Sustainability, MDPI, vol. 17(7), pages 1-30, March.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:3009-:d:1622510
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    References listed on IDEAS

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    1. Madanaguli, Arun & Sjödin, David & Parida, Vinit & Mikalef, Patrick, 2024. "Artificial intelligence capabilities for circular business models: Research synthesis and future agenda," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    3. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
    4. Belhadi, Amine & Kamble, Sachin & Jabbour, Charbel Jose Chiappetta & Gunasekaran, Angappa & Ndubisi, Nelson Oly & Venkatesh, Mani, 2021. "Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    5. Noh, Heeyong & Kim, Kyuwoong & Song, Young-Keun & Lee, Sungjoo, 2021. "Opportunity-driven technology roadmapping: The case of 5G mobile services," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    6. Showimy Aldossari & Umi Asma’ Mokhtar & Ahmad Tarmizi Abdul Ghani, 2023. "Factor Influencing the Adoption of Big Data Analytics: A Systematic Literature and Experts Review," SAGE Open, , vol. 13(4), pages 21582440231, December.
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