AI, Data Science & Business

2025

Assefa, D. Z., Ishizaka, A., & La Torre, D. (2025). Exploring the ESG-finance relationship through PROMETHEE ranking. Annals of Operations Research.
https://doi.org/10.1007/s10479-025-06797-0

Bag, S., Gupta, S., Galera‐Zarco, C., & Laguir, I. (2025). Developing green hydrogen‐based regenerative supply chain strategies for a sustainable future : An empirical study. Business Strategy and the Environment, 34(6), 6968‑6990. https://doi.org/10.1002/bse.4334

Bag, S., Routray, S., Rahman, M. S., & Gupta, S. (2025). Digital innovation for circular supply chain sustainability and resilience for achieving carbon neutrality: An empirical study. Journal of Environmental Management, 386, 125665. https://doi.org/10.1016/j.jenvman.2025.125665

Bag, S., Rahman, M. S., Gupta, S., & Lopes De Sousa Jabbour, A. B. (2025). Artificial intelligence driven ethical procurement systems, circular economy and governance: A supplier performance analysis. Journal of Purchasing and Supply Management, 101075. https://doi.org/10.1016/j.pursup.2025.101075

Cantini, A., Coruzzolo, A. M., De Carlo, F., Lolli, F., & Peron, M. (2025). Additive or conventional manufacturing for the management of spare parts inventories? The impact of qualification testing. Production Planning & Control, 36(16), 2223‑2246. https://doi.org/10.1080/09537287.2025.2494096

Chakraborty, K., Adnan, Z. H., Bag, S., & Gupta, S. (2025). A study on pricing, emission reduction, and innovative digital investment strategies for competitive or cooperative EV supply chains. Journal of Cleaner Production, 512, 145239. https://doi.org/10.1016/j.jclepro.2025.145239

Chaudhuri, N., Gupta, G., & Popovič, A. (2025). Do you believe it? Examining user engagement with fake news on social media platforms. Technological Forecasting and Social Change, 212, 123950. https://doi.org/10.1016/j.techfore.2024.123950

Chaudhuri, N., Gupta, G., & Popovič, A. (2025). Do you believe it? Examining user engagement with fake news on social media platforms. Technological Forecasting and Social Change, 212, 123950. https://doi.org/10.1016/j.techfore.2024.123950

Chen, L., Han, S., Gupta, S., Sivarajah, U., & A. Yamoah, F. (2025). A novel untapped flight segment flow prediction framework based on graph deep learning and heuristic algorithm for sustainable transport development. Journal of the Operational Research Society, 76(7), 1338‑1354. https://doi.org/10.1080/01605682.2024.2433191

Deng, H., Huang, Z., Wu, J., Güneri, F., Shen, Z. Y., & Yu, C. (2025). Harnessing the power of industrial robots for green development: Evidence from China’s manufacturing industry. Technological Forecasting and Social Change, 215, 124099. https://doi.org/10.1016/j.techfore.2025.124099

Goldani, N., Ishizaka, A., Kazemi, M., & Khan, J. (2025). Enhancing pairwise comparisons for multi-criteria decision making : Application to healthcare waste management. IMA Journal of Management Mathematics, 36(4), 759‑793. https://doi.org/10.1093/imaman/dpaf020

Gupta, S., Modgil, S., Lopes De Sousa Jabbour, A. B., Laguir, I., & Stekelorum, R. (2025). Towards digital transformation and governance in the healthcare sector. Information Technology & People, 38(5), 2163‑2186. https://doi.org/10.1108/ITP-02-2023-0179

Gupta, S., Modgil, S., Tuunanen, T., Zhang, Z., & Ali, I. (2025). Blockchain‐based innovation in platforms for user‐centricity and transparency. R&D Management, 55(5), 1683‑1702. https://doi.org/10.1111/radm.12780

Gupta, S., Modgil, S., Tuunanen, T., & Kar, A. K. (2025). Transitioning to ai-enabled generative cyber-physical servicescape. Information Systems Frontiers. https://doi.org/10.1007/s10796-025-10616-z

Gupta, G., & Chaudhuri, N. (2025). Decoding GenAi assimilation in teams: A multi-method study of GenAi’s impact on collaborative performance in project-based work. Information Systems Frontiers. https://doi.org/10.1007/s10796-025-10646-7 

Krishankumar, R., & Ishizaka, A. (2025). Solar panel prioritization with a combined multi-criteria approach including hyperbolic fuzzy set. Annals of Operations Research. https://doi.org/10.1007/s10479-025-06798-z 

Krishna, P., Majumdar, A., & Bose, I. (2025). All that glitters is not code? Understanding the predictors of developer popularity and sponsorship on a social coding platform. Production and Operations Management, 10591478251405119.
https://doi.org/10.1177/10591478251405119

Kucukkoc, I., Finco, S., Peron, M., & Aydin Keskin, G. (2025). Including mechanical requirements in a bi-objective nesting and scheduling model for additive manufacturing. European Journal of Operational Research, 325(3), 416‑432. https://doi.org/10.1016/j.ejor.2025.03.022

Larsen, K. R., Mueller, R. M., Bonaretti, D., Fischer-Preßler, D., Burleson, J. (Jim), Singh, N., Parsons, J., Pillet, J.-C., Sang, L., & Zhang, Z. (Drew). (2025). The item ontology: A tool to elucidate the anatomy of psychometric indicators. Information Systems Research, isre.2023.0257. https://doi.org/10.1287/isre.2023.0257

Leoni, L., Peron, M., & De Carlo, F. (2025). Machine learning-based predictive maintenance: Empirical insights of challenges and countermeasures. Production Planning & Control, 1‑30. 
https://doi.org/10.1080/09537287.2025.2555924

Liang, Y., Qin, J., & Ishizaka, A. (2025). Assessment of digital economy development with the new multicriteria sorting method: DCMSort. Omega, 132, 103224. https://doi.org/10.1016/j.omega.2024.103224

Lin, W., Wang, Y., Zhang, Q., Peron, M., & Lu, J. (2025). Emerging opportunities or paradoxes : Assessing the effect of digital technology adoption on corporate carbon performance. Journal of Environmental Management, 391, 126399. https://doi.org/10.1016/j.jenvman.2025.126399

Lolli, F., Coruzzolo, A. M., Forgione, C., Peron, M., & Sgarbossa, F. (2025). Auto-AzKNIOSH : An automatic NIOSH evaluation with Azure Kinect coupled with task recognition. Ergonomics, 68(10), 1718‑1734. https://doi.org/10.1080/00140139.2024.2433027

Lolli, F., Coruzzolo, A. M., Peron, M., & Sgarbossa, F. (2025). Insourcing additive manufacturing for spare parts production : Is it profitable? An extensive analysis and the proposal of a Decision Support System. International Journal of Production Research, 63(11), 3961‑3981. https://doi.org/10.1080/00207543.2024.2432470

Lopes De Sousa Jabbour, A. B., Laguir, I., Stekelorum, R., & Gupta, S. (2025). The nexus of artificial intelligence and sustainability performance : Unveiling the impact of supply chain transparency and customer pressure on ethical conduct. Journal of Environmental Management, 379, 124847. https://doi.org/10.1016/j.jenvman.2025.124847

Markovic, S., Iglesias, O., Torres, A., Rivera‐Torres, P., & Koporcic, N. (2025). Unpacking the relationship between co‐creation and brand equity: A multi‐study approach. European Management Review, emre.70030. https://doi.org/10.1111/emre.70030

Modgil, S., Gupta, S., Kar, A. K., & Tuunanen, T. (2025). How could Generative AI support and add value to non-technology companies – A qualitative study. Technovation, 139, 103124. https://doi.org/10.1016/j.technovation.2024.103124

Müller, S. D., Zaggl, M., Svangaard, R., & Jakobsen, A. M. (2025). Digital Transformation Toward Data-Driven Decision-Making: Theorizing Action Strategies in Response to Transformation Challenges. Communications of the Association for Information Systems, 56, 961-999. https://doi.org/10.17705/1CAIS.05637

Pattanaik, P. K., Gupta, S., Pani, A. K., Himanshu, U., & Pappas, I. O. (2025). Impact of inter and intra organizational factors in healthcare digitalization: A conditional mediation analysis. Information Systems Frontiers, 27(3), 1275‑1302. https://doi.org/10.1007/s10796-024-10522-w

Sahoo, S., Kumar, A., Mangla, S. K., & Ishizaka, A. (2025). Examining the effects of industry 4. 0 adoption, information acquisition capability, and organizational ambidexterity on innovation and circular economy performance. Business Strategy and the Environment, 34(2), 1590‑1606. https://doi.org/10.1002/bse.4067

Sbrana, G., & Silvestrini, A. (2025). The structural Theta method and its predictive performance in the M4-Competition. International Journal of Forecasting, 41(3), 940‑952. https://doi.org/10.1016/j.ijforecast.2024.08.003

Sbrana, G. (2025). Markov Walk and Walmart sales prediction. Journal of the Operational Research Society, 1‑12. https://doi.org/10.1080/01605682.2025.2569661  

Sedighi‐Maman, Z., Gupta, A., Wilkerson, G. B., & Popovič, A. (2025). Machine learning approaches for improved understanding of factors associated with history of sport‐related concussion. Risk Analysis, risa.70061. https://doi.org/10.1111/risa.70061

Sègbotangni, E. A., Laguir, I., & Gupta, S. (2025). Exploring the effect of supply chain integration and supply chain transparency on SME environmental performance under conditions of environmental unpredictability. Journal of Environmental Management, 375, 124225. https://doi.org/10.1016/j.jenvman.2025.124225

Trinh, T. (2025). The effect of modern information technology on corporate payout policy. Evidence from EDGAR implementation. Journal of Economic Studies, 52(5), 872‑886. https://doi.org/10.1108/JES-05-2024-0366

Tsirozidis, G., Kirk, U. B., & Zaggl, M. A. (2025). Benefits for thee, not for me? mHealth engagement through the lens of privacy calculus theory and trust. Behaviour & Information Technology, 44(19), 4663‑4683. https://doi.org/10.1080/0144929X.2025.2485395

Yang, F., Qian, Y., & Xie, H. (2025). Addressing endogeneity using a two-stage copula generated regressor approach. Journal of Marketing Research, 62(4), 601‑623. https://doi.org/10.1177/00222437241296453

Zaggl, M. A., Block, J., & Wissel, J. (2025). Certification of open source software compliance: Insights from a conjoint experiment. Information Systems Journal, isj.70014. https://doi.org/10.1111/isj.70014 

Zhang, S., Chen, R., Wu, J., & Zhu, N. (2025). Scale measurement and economic effect evaluation of smart agriculture in China. Socio-Economic Planning Sciences, 99, 102195. https://doi.org/10.1016/j.seps.2025.102195

2023-24

• Research Talk – Thursday, 12 October, 2023: Ning Zhong (assistant professor of marketing at Smeal College of Business, Pennsylvania State University). Using Text Analytics Models to Examine Consumer Mobility Patterns.

The AI, Data Science & Business, Insights & Value Creation sub-area

• Research Talk – Monday, 18 December, 2023, Paris campus: “Exploring the Power of Advanced Social Network Analysis in Understanding Business and Social Dynamics”, Giuseppe Giordano (University of Salerno).
• Research Talk – Wednesday, 15 May and Thursday 16 May, Reims Campus: Prof. Fan Yang Wallentin, Uppsala University. Prof. Wallentin’s research interests focus on the theory and applications of structural equation modelling and other types of multivariate statistical analysis, particularly their applications in the social and behavioural sciences.
• Eye-Tracking Workshop – Thursday, 23 May, Rouen Campus: by Prof. Michel Wedel, Distinguished University Professor (PepsiCo Chair in Consumer Science), Robert H. Smith School of Business, University of Maryland. The eye-tracking workshop is open to all NEOMA Faculty and PhD students, as well as research collaborators from other business schools.
• Research Talk – Friday, 24 May, Rouen Campus and hybrid: Research Talk: “Strategic Merchant Competitions and Growth Opportunities for Small Deal Platforms” by Prof. Jie Zhang, Dean’s Professor of Marketing, Harvey Sanders Fellow of Retail Management, Robert H. Smith School of Business, University of Maryland.
• Research Talk – Thursday, 6 June 2024, Reims Campus: Professor Riccardo Vecchio from the University of Naples Federico II. Professor Vecchio is renowned for his expertise in Wine and Food Marketing, Consumer Behavior, and Experimental Economics, making his research focus highly relevant to the themes of the Chair.

Pédagogie

Exemples de cours associés à ce sous-domaine : "Data Analytics for Strategic Decisions", "Financial Data & Analytics", "Blockchain and Fintech", "Data Science for Finance", "Big Data for Finance", "Machine Learning and Artificial Intelligence in Finance",” "Digital Markets and Society", "Search Engine Marketing and Community Management", "UX Design", "Unstructured Data Analysis", "Data Analysis and Business Intelligence", "Machine Learning and Artificial Intelligence for Business", "Product, Design and Innovation", "Ethics, Consumption and Technology"

Festival Pint of Science 2021. Gaël Bonnin a parlé de l’impact de la réalité virtuelle sur l’attractivité des attractions touristiques lors du festival Pint of Science, un événement national visant à démystifier la recherche scientifique et la rendre accessible au grand public. Voir le replay (à 39:40)

Chaires, partenaires et projets financés

Le Pôle comprend deux projets de recherche financés en externe :

• AdoptBlockChain (Région Grand Est), dont l’objectif est d’étudier l’adoption de la technologie blockchain et son impact dans le contexte de la chaîne d’approvisionnement.
• L’adoption de l’IA par les entreprises de Reims (Grand Reims). Son objectif est d’évaluer l’utilisation des technologies d’IA par les entrepreneurs et les agriculteurs locaux afin de comprendre les résistances et évaluer l’impact sur les entreprises de son adoption.

Le Pôle intègre aussi l’Institut SPOC. Créé en 2015 avec une orientation de recherche appliquée, l’objectif de l’Institut SPoC est d’améliorer l’adoption ainsi que les conséquences sociales et commerciales du développement de la robotique.

FNEGE Médias : Giacomo Sbrana établit des prévisions avec une tendance de modèle tempéré utilisant une approche structurelle. Regarder la vidéo