La compétence en IA rencontre la capacité d’absorption : leviers de résilience et de performance environnementale dans les chaînes d’approvisionnement

Auteurs

  • Samuel Fosso Wamba TBS Business School, Toulouse, 31068, France,
  • Laura Trinchera NEOMA Business School, Mont-Saint-Aignan, France
  • Serge-Lopez Wamba-Taguimdje Université Côte d’Azur, CNRS, GREDEG, Nice, France

DOI :

https://doi.org/10.66450/sim.v31i1.03

Mots-clés :

Compétences en IA, capacité d’absorption, résilience de la chaîne d'approvisionnement, performance environnementale de la chaîne d'approvisionnement

Résumé

Dans un environnement mondial marqué par l’incertitude, les bouleversements technologiques et les exigences croissantes en matière de durabilité, la performance de la supply chain dépend de plus en plus de deux dimensions stratégiques : la résilience et la performance environnementale. Si les technologies d’intelligence artificielle (IA) offrent un potentiel considérable pour relever ces défis, peu d’études ont analysé comment la compétence en IA, en tant que ressource organisationnelle essentielle, interagit avec la capacité d’absorption (ACAP) pour influencer la résilience et la performance environnementale de la supply chain. À l’aide de la théorie « resource-based view » et de la théorie des capacités dynamiques, cette recherche examine le rôle médiateur de l’ACAP dans la relation entre les compétences en IA et la performance des supply chains. Un modèle conceptuel est proposé et testé empiriquement auprès d’un échantillon de 351 personnes. Les résultats révèlent que les compétences en IA améliorent considérablement la résilience et la performance environnementale de la supply chain, et qu’une ACAP élevée renforce ces effets. L’étude met en évidence le rôle complémentaire des compétences en IA et des capacités organisationnelles (ACAP) dans la résilience et la performance environnementale de la supply chain.

Bibliographies de l'auteur

Samuel Fosso Wamba, TBS Business School, Toulouse, 31068, France,

Samuel FOSSO WAMBA is Full Professor at TBS Business School. His current research focuses on business value of IT, inter-organizational systems adoption and use, supply chain management, electronic commerce, mobile commerce, electronic government, IT-enabled government transparency, blockchain, artificial intelligence in business, social media, business analytics, big data and open data. He has published papers in a number of international conferences and journals including: Academy of Management Journal, European Journal of Information Systems, Journal of Cleaner Production, International Journal of Production Economics, International Journal of Production Research, Journal of Business Research, Technology Forecasting and Social Change, Production Planning & Control, Journal of Strategic Marketing, Information Systems Frontiers, Electronic Markets – The International Journal on Networked Business, Business Process Management Journal, Proceedings of the IEEE, Hawaii International Conference on Systems Science (HICSS), Pacific Asia Conference on Information Systems (PACIS), Americas Conference on Information Systems (AMCIS) and International Conference on Information Systems (ICIS). Prof Fosso Wamba is organizing special issues on IT-related topics for leading international journals. He is the coordinator of The Big Data Program in London for Toulouse Business School. He won the best paper award of The Academy of Management Journal in 2017 and the papers of the year 2017 of The Electronic Markets: The International Journal on Networked Business. He is an Associate Editor of International Journal of Logistics Management information. He serves on editorial board of five international journals. According to Google Scholar he has an h-index of 32 and over 4004 citations by January 17, 2019. Prof Fosso Wamba is CompTIA RFID + Certified Professional, Academic Co-Founder of RFID Academia.

Laura Trinchera, NEOMA Business School, Mont-Saint-Aignan, France

Dr. Laura Trinchera is a Professor of Statistics and Data Science at NEOMA Business School in France where she leads the research center (Area of Excellence) in AI, Data Science & Business. She holds a Master’s degree in Business and Economics (2004) and a PhD in Statistics (2008) from the University of Naples Federico II, Italy. Her research focuses on Data Sciences and Psychometrics, with a focus on Structural Equation Modeling, PLS Methods, classification algorithms and statistical learning approaches. Her research has been published in internationally recognized journals such as Structural Equation Modeling: A Multidisciplinary Journal, Journal of Production Economics, Journal of Organizational Behavior, Food Quality and Preference, Computational, Statistics and Data Analysis, International Journal of Information Management and Management Decision. She also co-edited the Handbook of Partial Least Squares: Concepts, Methods and Applications. She has been a visiting researcher at several esteemed institutions, including the University of California, Santa Barbara, the University of Michigan, Ann Arbor, the University of Hamburg, Charles University in Prague, HEC School of Management in Paris, and has served as an external lecturer at ESSEC Business School, Sciences Po Paris, and Sorbonne University in Abu Dhabi.

Serge-Lopez Wamba-Taguimdje, Université Côte d’Azur, CNRS, GREDEG, Nice, France

Serge-Lopez WAMBA-TAGUIMDJE is a Ph.D. student at the Université Côte d’Azur. His research focuses primarily on artificial intelligence, big data, business model innovation, data-driven business models, open data, mobile money and payment, and ICT for sustainable development. He holds a master's degree in management and information systems and a bachelor's degree in computer engineering. He is a member of the Association for Information Systems (AIS). He has authored several academic articles in well-renowned journals: Information Technology and People, Government Information Quarterly, Business Process Management Journal, and Journal of Retailing and Consumer Services. He has also presented papers at international conferences, like AMCIS, WorldCIST, AIM, and ICTO.

Références

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2026-09-14

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Fosso Wamba, S., Trinchera, L., & Wamba-Taguimdje, S.-L. (2026). La compétence en IA rencontre la capacité d’absorption : leviers de résilience et de performance environnementale dans les chaînes d’approvisionnement. Systèmes d’Information Et Management (French Journal of Management Information Systems). https://doi.org/10.66450/sim.v31i1.03

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