Integrating technology into Supply Chain Management (SCM) helps to improve performance and gain competitive advantage. The benefits are manifold, and concern all supply chain processes, from the product design phase through to procurement, flow management, transport, distribution, etc. (Alkaraan et al., 2025). These contributions are particularly important in a context where the complexity of SCM is growing, and the associated risks are increasingly present (Jamwal et al., 2022). Several technologies, such as blockchain, IoT and artificial intelligence (AI), can be used to optimize supply chain processes and improve performance, particularly in environmental terms (Benzidia et al., 2021 ; Karmaker et al., 2023 ; Najar et al., 2025; Ennajeh et al., 2025). Among these most promising technologies, AI offers potential for improvements and requires successful integration into supply chain processes and information systems (Hendriksen, 2023; Cannas et al., 2024). Among the objectives of technology adoption in general and AI in particular, recent research highlights sustainability (Sipola et al., 2023; Patalas-Maliszewska, 2024).

This track aims to explore how innovative technologies and AI can be used to make supply chains more sustainable. Researchers are invited to submit original contributions on this theme (in French or English). Papers can explore the applications, impacts and challenges of integrating technologies and AI in the sustainable transformation of supply chains. Theoretical, methodological and empirical perspectives, qualitative and quantitative studies are welcome.

Instructions to the Authors : https://www.prologconference.com/author-guidelines-prolog-conference

Track Keywords :

Supply chain, Sustainability, Technology, Artificial Intelligence, Innovation.

References :

• Alkaraan, F., Elmarzouky, M., Lopes de Sousa Jabbour, A.B., Chiappetta Jabbour, C.J., & Gulko, N. (2025). Maximising sustainable performance: Integrating servitisation innovation into green sustainable supply chain management under the influence of governance and Industry 4.0. Journal of Business Research.
• Benzidia S. Makaoui N. & Subramanian N. (2021). Impact of ambidexterity of blockchain technology and social factors on new product development: A supply chain and Industry 4.0 perspective. Technological Forecasting and Social Change, no.169, 120819.
• Cannas, V. G., Ciano, M. P., Saltalamacchia, M., & Secchi, R. (2024). Artificial intelligence in supply chain and operations management: Multiple case study research. International Journal of Production Research, 62(9), 3333–3360.
• Ennajeh, L., Najar, T. & Aloui, A. (2025). Digital Transformation through Artificial Intelligence in Organizations : A Systematic Literature Review ». (To be publisehd), Journal of Information Technology Management (JITM).
• Hendriksen, C. (2023). Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption? Journal of Supply Chain Management, 59(3), 65–76
• Jamwal, A., Agrawal, R., Sharma, M., Kumar, A., Kumar, V., & Garza-Reyes, J. A. A. (2022). Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research. Journal of Enterprise Information Management, 35(2), 566-596.
• Karmaker, C. L., Al Aziz, R., Ahmed, T., Misbauddin, S. M., & Moktadir, M. A. (2023). Impact of industry 4.0 technologies on sustainable supply chain performance: The mediating role of green supply chain management practices and circular economy. Journal of Cleaner Production, 419, 138249.
• Najar, T, Ennajeh, L., Aloui, A. & Fosso Wamba, S. (2025). Understanding the acceptance of Blockchain use in the supply chain through the Lens of the technology-organization-environment (TOE) framework. (To be published), French Journal of Management Information Systems.
• Patalas-Maliszewska, J., Szmołda, M., & Łosyk, H. (2024). Integrating Artificial Intelligence into the Supply Chain in Order to Enhance Sustainable Production—A Systematic Literature Review. Sustainability, 16(16), 7110.
• Sipola, J., Saunila, M., & Ukko, J. (2023). Adopting artificial intelligence in sustainable business. Journal of Cleaner Production. 426 (2023) 139197.