IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04671595.html

The use of artificial intelligence to advance sustainable supply chain: retrospective and future avenues explored through bibliometric analysis

Author

Listed:
  • Ibtissam Zejjari

    (USMBA - Université Sidi Mohamed Ben Abdellah)

  • Issam Benhayoun

    (UMI - جامعة مولاي إسماعيل = Université Moulay Ismaïl)

Abstract

Keeping up with the hastily growing economy implies undergoing unremitting transformation permanently. In the field of supply chain, such progress can only be guaranteed via the exploration of new horizons and innovative solutions in response to the constraints of the global market. Emerging technologies, particularly artificial intelligence, offer promising avenues for enhancing supply chain processes, with sustainability ascending as a critical consideration. Despite the recent surfacing of AI-driven applications, scant attention has been devoted to exploring their full potential within supply chain operations, particularly in conjunction with SDGs. Recognizing the untapped opportunities presented by the implementation of AI for a sustainable supply chain this study undertakes a bibliometric analysis of 236 research papers sourced from the Web of science database. The analysis utilizes R language BiblioShiny to examine the extracted papers, and dissect patterns, trends, and relationships among key concepts and themes as well as prominent topics, impactful authors, and leading journals and countries in this domain. The findings reveal substantial growth in research related to SCM, AI, and sustainability as the UK leads this field of study with 132 articles followed by India, China and the USA. Eventually, the National University of Singapore came first in terms of paper affiliations, followed by De La Salle University, and London Metropolitan University. These results only prove that sustainability is becoming more critical in the equation of AI-driven supply chains especially with the current socio-political and economic circumstances, constituting a solid base for further academic research and more innovations in the managerial and business-related policies in this field.

Suggested Citation

  • Ibtissam Zejjari & Issam Benhayoun, 2024. "The use of artificial intelligence to advance sustainable supply chain: retrospective and future avenues explored through bibliometric analysis," Post-Print hal-04671595, HAL.
    • Handle: RePEc:hal:journl:hal-04671595
    DOI: 10.1007/s43621-024-00364-6
    Note: View the original document on HAL open archive server: https://hal.science/hal-04671595v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-04671595v1/document
    Download Restriction: no
    File URL: https://libkey.io/10.1007/s43621-024-00364-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Farheen Naz & Rohit Agrawal & Anil Kumar & Angappa Gunasekaran & Abhijit Majumdar & Sunil Luthra, 2022. "Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2400-2423, July.
    2. Naoum Tsolakis & Roman Schumacher & Manoj Dora & Mukesh Kumar, 2023. "Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?," Annals of Operations Research, Springer, vol. 327(1), pages 157-210, August.
    3. Kuang-Sheng Liu & Ming-Hung Lin, 2021. "Performance Assessment on the Application of Artificial Intelligence to Sustainable Supply Chain Management in the Construction Material Industry," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gradinaru Giani & Matei Bogdan Florin & Ionica Andreea & Yalamov Todor, 2025. "AI challenges for environmental economics: A bibliometric analysis," Management & Marketing, Sciendo, vol. 20(4), pages 110-118.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen Qu & Eunyoung Kim, 2024. "Reviewing the Roles of AI-Integrated Technologies in Sustainable Supply Chain Management: Research Propositions and a Framework for Future Directions," Sustainability, MDPI, vol. 16(14), pages 1-27, July.
    2. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    3. Ti-An Chen, 2022. "Business Performance Evaluation for Tourism Factory: Using DEA Approach and Delphi Method," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    4. Bhattacharya, Sourabh & Govindan, Kannan & Ghosh Dastidar, Surajit & Sharma, Preeti, 2024. "Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    5. Wünderlich, Nancy V. & Blut, Markus & Brock, Christian & Heirati, Nima & Jensen, Marcus & Paluch, Stefanie & Rötzmeier-Keuper, Julia & Tóth, Zsófia, 2025. "How to use emerging service technologies to enhance customer centricity in business-to-business contexts: A conceptual framework and research agenda," Journal of Business Research, Elsevier, vol. 192(C).
    6. John Ayo Olaghere & Henry Egbezien Inegbedion & Faith Ogheneriode Osiobe, 2023. "The Implications of Digitalization in Retail Service Delivery on Circular Economy in Nigeria: An Exploratory Case Study," Sustainability, MDPI, vol. 15(17), pages 1-16, September.
    7. Shubhangini Rajput, 2024. "Analysis of Industry 4.0 technological enablers for sustainable supply chain transparency in a fuzzy environment," Business Strategy and the Environment, Wiley Blackwell, vol. 33(8), pages 8616-8636, December.
    8. Mark Rodgers & Sayan Mukherjee & Benjamin Melamed & Alok Baveja & Ajai Kapoor, 2024. "Solving business problems: the business-driven data-supported process," Annals of Operations Research, Springer, vol. 332(1), pages 705-741, January.
    9. Alexandra Brintrup & George Baryannis & Ashutosh Tiwari & Svetan Ratchev & Giovanna Martinez-Arellano & Jatinder Singh, 2023. "Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions," Papers 2305.11581, arXiv.org.
    10. Emilia Vann Yaroson & Amélie Abadie & Mélanie Roux, 2025. "Human-artificial intelligence collaboration in supply chain outcomes: the mediating role of responsible artificial intelligence," Annals of Operations Research, Springer, vol. 354(1), pages 35-69, November.
    11. Syed Abdul Rehman Khan & Adnan Ahmed Sheikh & Ibrahim Rashid Al Shamsi & Zhang Yu, 2025. "The Implications of Artificial Intelligence for Small and Medium-Sized Enterprises’ Sustainable Development in the Areas of Blockchain Technology, Supply Chain Resilience, and Closed-Loop Supply Chains," Sustainability, MDPI, vol. 17(1), pages 1-22, January.
    12. Hawashin, Diana & Salah, Khaled & Jayaraman, Raja & Yaqoob, Ibrar, 2025. "Using machine learning and blockchain for trusted detection and monitoring of excessive working hours in factories," Technology in Society, Elsevier, vol. 83(C).
    13. Wang, Qiang & Ji, Xiang & Zhao, Nenggui, 2024. "Embracing the power of AI in retail platform operations: Considering the showrooming effect and consumer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    14. Sakshi Goyal & Praveen Goyal, 2024. "The evolution of pro‐environmental behavior research in three decades using bibliometric analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4133-4153, September.
    15. Tobias Ströher & Marc-Fabian Körner & Felix Paetzold & Jens Strüker, 2025. "Bridging carbon data’s organizational boundaries: toward automated data sharing in sustainable supply chains," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-22, December.
    16. Tang, Meihuan, 2025. "Data element utilization and firm value," International Review of Financial Analysis, Elsevier, vol. 102(C).
    17. Al-khatib, Ayman wael & AL-Shboul, Moh'd Anwer & Khattab, Mais, 2024. "How can generative artificial intelligence improve digital supply chain performance in manufacturing firms? Analyzing the mediating role of innovation ambidexterity using hybrid analysis through CB-SEM and PLS-SEM," Technology in Society, Elsevier, vol. 78(C).
    18. José Anselmo Pérez Reyes & Ananya Rajagopal, 2025. "Rules of engagement: ethical issues and value chain introspection in Artificial Intelligence systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(1), pages 463-487, February.
    19. Kithandi, Charles Katua & Mwove, Reuben Musyoka, 2026. "Artificial Intelligence Demand Forecasting and Supply Chain Performance of Large Supermarkets in Nairobi City County, Kenya," African Journal of Commercial Studies, African Journal of Commercial Studies, vol. 7(1).
    20. Basim Aljabhan & Muath A. Obaidat, 2023. "Privacy-Preserving Blockchain Framework for Supply Chain Management: Perceptive Craving Game Search Optimization (PCGSO)," Sustainability, MDPI, vol. 15(8), pages 1-23, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-04671595. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.