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Alireza ASGARI
Full Time Professor of Purchasing and Supply Chain Management and Information Systems
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Home Alireza ASGARI - Full Time Professor of Purchasing and Supply Chain Management and Information Systems
Alireza ASGARI - Clermont School of Business

Alireza Asgari holds a PhD in Management Sciences from the University of Grenoble Alpes. He also holds a Master’s degree in Management Information Systems and a Bachelor’s degree in Industrial Engineering. His research focuses primarily on the application of digital technology to strengthen the resilience of supply chains.

His teaching areas cover supply chain management, purchasing, information systems, big data analysis, resilience and risk management, among others.

Biography ’’ Created with Sketch.
In brief
Teaching areas
- Supply Chain & Operations Management
- Supply Chain & Big Data Analytics
- Systèmes d'Information et Innovation Numérique
- Enterprise Resource Planning
- Gestion des Risques et Résilience
Research topics
- Researcher at CleRMa, Clermont Research Management | STeRA Axis, Strategy, Territory and Networks of Actors
- Supply Chain Management
- Social-ecological Resilience
- Information Systems
- Big Data Analytics
- Agri-food
Responsibilities
- Full Time Professor of Purchasing and Supply Chain Management and Information Systems
Education
- Ph.D in Management Sciences, University of Grenoble Alpes, 2025

Professional experience

  • Since 2025: Clermont School of Business – Professor in Supply Chain Management and Information Systems
  • 2023-2025: University of Grenoble Alpes – Temporary Lecturer and Researcher (ATER) in Information Systems
  • 2020-2023: University of Grenoble Alpes – Affiliate Professor of Information Systems

Publications – Interventions (since 2021)

Last update: July 2025

Academic research articles in management

  • ALAEDDINI, M., ASGARI, A., AHMADI, S. (forthcoming). Text-based Insights on Generative AI Applications in Economics and Business. International Journal of Generative Artificial Intelligence in Business.
  • ASGARI, A., ALAEDDINI, M., REAIDY, P. (forthcoming). The role of pull supply chain forecasting on the performance: the mediating role of predictive analytics. IFAC PapersOnline.
  • ASGARI, A. (2025). Uncovering the role of big data analytics on the resilience of agri-food supply chains: a systematic literature review. Procedia Computer Science, 253, 1631-1639.
  • ALAEDDINI, M., ASGARI, A. (2025). An Integrated Big Data Analytics Architecture for Resilience: A Case Study of Last-Mile Agri-Food Delivery. Procedia Computer Science, 253, 1621-1630.
  • ASGARI, A., ALAEDDINI, M., REAIDY, P. (2025). Ranking Big Data Analytics Micro-Foundations for the Resilience of Agri-Food Retailers: A Multi-Criteria Decision-Analysis Study. IFIP International Conference on Advances in Production Management Systems (pp. 19-34). Cham: Springer Nature Switzerland.

Papers in academic conferences

  • ASGARI, A. (2023). The role of data analytics on the resilience of agri-food supply chains: a systematic review. EurOMA conference, Leuven, July
  • ASGARI, A., REAIDY, P. (2023). Resilience of agri-food supply chain: a systematic review. PROLOG Conference, Luxembourg, June
  • ALAEDDINI, M., ASGARI, A., REAIDY, P. (2024). Enhancing Resilience in Agri-Food Retail Supply Chains through Integrated Big Data Analytics: A Multiple Case Study Approach. International Working Seminar on Production Economics, Innsbruck, February
  • ALAEDDINI, M., ASGARI, A. (2024). An Integrated Big Data Analytics Architecture for Resilience: A Case Study of Last-Mile Agri-Food Delivery. International Conference on Industry 4.0 and Smart Manufacturing, Prague, November
  • ASGARI, A., ALAEDDINI, M., REAIDY, P. (2025). The role of supply chain forecasting on performance: the mediating role of predictive analytics. IFAC Conference, Trondheim, June
  • ASGARI, A., M. ALAEDDINI, REAIDY, P. (2025). Ranking Big Data Analytics Micro-Foundations for the Resilience 3 of Agri-Food Retailers: A Multi-Criteria Decision-Analysis Study. APMS Conference, Kamakura, September

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