Integration of Digital Technologies in Circular Supply Chains: A Keyword-Based Analysis

Abdelmounaim Aggour

doi:10.23882/ijdam.25214

Authors

Abdelmounaim Aggour High School of Technology of Agadir, Ibn Zohr University, Morocco

DOI:

https://doi.org/10.23882/ijdam.25214

Keywords:

digital technologies, circular supply chain, big data, blockchain, Artificial intelligence, internet of things, keyword analysis

Abstract

In recent years, the integration of digital technologies into circular supply chains has gained significant attention in the literature. In fact, these technologies and their applications are shaping the future of circular supply chains. This paper explores the role of digital technologies in enhancing circular supply chains. Employing a keyword analysis, the study examines the most frequently occurring terms associated with digital technologies in circular supply chains. The outcomes of the analysis highlight the increasing prominence of keywords such as blockchain, big data, Artificial Intelligence (AI), digital twins and, Internet of Things (IoT), indicating a significant shift towards data-driven and automated solutions. The findings of this research contribute to the existing literature by providing a structured overview of the digital technologies transforming circular supply chains. By identifying core and emerging topics, this paper sets the framework for continued exploration and development in the field of digital technologies and circular supply chains.

References

Bhalla, G., Singh, H., & Bawa, P. (2022). 3D Printing Incorporated with Supply Chain Management and Associated Waste Production. , 159-178. https://doi.org/10.1007/978-3-030-75235-4_9.

Chen, Z., & Huang, L. (2021). Digital twins for information-sharing in remanufacturing supply chain: A review. Energy, 220, 119712. https://doi.org/10.1016/j.energy.2020.119712.

Cheng, T., Kamble, S., Belhadi, A., Ndubisi, N., Lai, K., & Kharat, M. (2021). Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms. International Journal of Production Research, 60, 6908 - 6922. https://doi.org/10.1080/00207543.2021.1906971.

Fadlalla, A., & Amani, F. (2015). A keyword-based organizing framework for ERP intellectual contributions. Journal of Enterprise Information Management, 28(5), 637-657. https://doi.org/10.1108/JEIM-09-2014-0090

Farooque, M., Zhang, A., Thürer, M., Qu, T., & Huisingh, D. (2019). Circular supply chain management: A definition and structured literature review. Journal of cleaner production, 228, 882-900. https://doi.org/10.1016/J.JCLEPRO.2019.04.303.

Garmulewicz, A., Holweg, M., Veldhuis, H., & Yang, A. (2018). Disruptive Technology as an Enabler of the Circular Economy: What Potential Does 3D Printing Hold?. California Management Review, 60, 112 - 132. https://doi.org/10.1177/0008125617752695.

Islam, M. (2024). A Systematic Literature Review On Building Resilient Supply Chains Through Circular Economy And Digital Twin Integration. Innovatech Engineering Journal. https://doi.org/10.70937/faet.v1i01.44.

Jum’a, L., Ikram, M., & Jabbour, C. (2024). Towards circular economy: A IoT enabled framework for circular supply chain integration. Comput. Ind. Eng., 192, 110194. https://doi.org/10.1016/j.cie.2024.110194.

Kamble, S., Gunasekaran, A., Parekh, H., Mani, V., Belhadi, A., & Sharma, R. (2022). Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2021.121448.

Khan, S., Piprani, A., & Yu, Z. (2022). Digital technology and circular economy practices: future of supply chains. Operations Management Research, 1-13. https://doi.org/10.1007/s12063-021-00247-3.

Khan, S., Yu, Z., Sarwat, S., Godil, D., Amin, S., & Shujaat, S. (2021). The role of block chain technology in circular economy practices to improve organisational performance. International Journal of Logistics Research and Applications, 25, 605 - 622. https://doi.org/10.1080/13675567.2021.1872512.

Liu, L., Song, W., & Liu, Y. (2023). Leveraging digital capabilities toward a circular economy: Reinforcing sustainable supply chain management with Industry 4.0 technologies. Comput. Ind. Eng., 178, 109113. https://doi.org/10.1016/j.cie.2023.109113.

Lödar-Miculeac, R., Szeberényi, A., Gallego-Nicholls, J., & Guijarro-García, M. (2025). Leveraging AI-Driven Supply Chain Analytics for Accelerating the Circular Economy: A Focus on Real-Time Resource Management and Extended Product Life-Cycles. 9th FEB International Scientific Conference: Sustainable Management in the Age of ESG and AI: Navigating Challenges and Opportunities. https://doi.org/10.18690/um.epf.5.2025.39.

Nathany, D. (2025). Digital Twins for Resilient and Sustainable Supply Chains. International Journal For Multidisciplinary Research. https://doi.org/10.36948/ijfmr.2025.v07i01.40768.

Obukhova, A., Merzlyakova, E., Ershova, I., & Karakulina, K. (2020). Introduction of digital technologies in the enterprise. E3S Web of Conferences. https://doi.org/10.1051/e3sconf/202015904004.

Patil, A., Dwivedi, A., Moktadir, M., & , L. (2023). Big data-Industry 4.0 readiness factors for sustainable supply chain management: Towards circularity. Comput. Ind. Eng., 178, 109109. https://doi.org/10.1016/j.cie.2023.109109.

Priyanshu, D., Alabdulraheem, A., Sadath, S., & Almuqbil, N. (2024). Optimizing AI-Driven Algorithms for Sustainable Supply Chains: Integrating IoT and Blockchain Technologies. 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS), 570-574. https://doi.org/10.1109/ICTACS62700.2024.10840676.

Romagnoli, S., Tarabu', C., Maleki Vishkaei, B., & De Giovanni, P. (2023). The impact of digital technologies and sustainable practices on circular supply chain management. Logistics, 7(1), 1. https://doi.org/10.3390/logistics7010001.

Sah, B., Hasan, M., Shofiullah, S., & Faysal, S. (2024). AI-Driven IoT And Blockchain Integration In Industry 5.0 A Systematic Review Of Supply Chain Transformation. Innovatech Engineering Journal. https://doi.org/10.70937/itej.v1i01.12.

Shree, M., Dhinakaran, V., Rajkumar, V., Ram, P., Vijayakumar, M., & Sathish, T. (2020). Effect of 3D printing on supply chain management. Materials Today: Proceedings, 21, 958-963. https://doi.org/10.1016/j.matpr.2019.09.060.

Sopjani, L., Arekrans, J., Laurenti, R., & Ritzén, S. (2020). Unlocking the linear lock-in: Mapping research on barriers to transition. Sustainability, 12(3), 1034. https://doi.org/10.3390/su12031034.

Thomas, A., & Mishra, U. (2022). A sustainable circular economic supply chain system with waste minimization using 3D printing and emissions reduction in plastic reforming industry. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2022.131128.

Tiwari, S., Wee, H., & Daryanto, Y. (2018). Big data analytics in supply chain management between 2010 and 2016: Insights to industries. Comput. Ind. Eng., 115, 319-330. https://doi.org/10.1016/j.cie.2017.11.017.

Vegter, D., van Hillegersberg, J., & Olthaar, M. (2020). Supply chains in circular business models: processes and performance objectives. Resources, Conservation and Recycling, 162, 105046. https://doi.org/10.1016/j.resconrec.2020.105046.

Wu, H., Liu, J., & Liang, B. (2024). AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-024-01999-6.

Zahidur, M., & Farazi, R. (2024). Designing circular supply chains with digital technologies for competitive sustainability: An operation management perspective. International Journal of Science and Research Archive. https://doi.org/10.30574/ijsra.2024.13.1.1928.