Research Center
Artificial Intelligence and Decision Making
Artificial Intelligence and Decision Making
Mission of the Research Center
The mission of our research center is the creation and dissemination of research on Artificial Intelligence and data-driven decision making for improving the productivity, sustainability, and security of organizations, and gaining strategic advantage in today’s digital economy and data-driven world. This includes both methodological and applied research in a broad scope of business management disciplines, such as Operations Management, Finance, Marketing, and Information Systems. Currently, the research center comprises four research groups:
- Machine Learning Methodology for Business Studies
- Applications of Language Model in Organization
- Analytics for Better Business Decision Making
- Innovation and Management of Disruptive Technologies
Research Center
Artificial Intelligence and Decision Making
Artificial Intelligence and Decision Making
Our people
Director:
Yacine Rekik
Information & Operations Management(Paris)
Permanent Faculty:
- Wei Zhou
Information & Operations Management(Paris) - Nabil Kahale
Finance (Paris) - Yacine Rekik
Information & Operations Management(Paris) - Pablo Winant
Law Economics & Humanities (Paris) - Julien Fouquau
Finance (Paris)
- Chuanwen Dong
Information & Operations Management(Berlin) - Saeid Vafainia
Marketing (Paris) - Howard Zhong
Information & Operations Management(Paris) - Yuting Gao
Information & Operations Management(Madrid) - Mostafa Rezaei
Information & Operations Management(Paris)
Researchers:
- Thu-Quynh Mai
PhD(Paris)
Research Center
Artificial Intelligence and Decision Making
Artificial Intelligence and Decision Making
Our research activities
- Machine Learning Methodology for Business Studies
The goal of this research group is to develop new machine learning (ML) methodologies, specifically aimed at supporting business decision-making. Ongoing research projects on this research theme:- L. Maliar, S.Maliar, P.Winant, 2022, Deep Learning for Solving Dynamic Economic Models
- Zhong, H., Yuan Z., Zhang D., Jiang Y., Zhang S. & Xiong H., Unboxing Causation: A Design Instantiation of Causation Theory using Reinforcement Learning on VC Decision-making Processes
- Zhang S., Zhong H., Yong G. & Xiong H., Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks
- Kahale N., Efficient Monte Carlo methods for Machine Learning
- Applications of Language Model in Organization
This group explores the practical applications of large language models in organizational contexts, with a primary emphasis on enhancing productivity and ensuring safety through adoption, identification of use cases, and alignment methodologies. Ongoing research projects on this research theme:- Mimra, W, Winant P., The risk and social preferences of large language models
- Gao, Y., Hahn, J., The Impact of ChatGPT on People’s Engagement With Online Advice Communities
- Weis, M., Dong, C., and Bick, M. , Firms’ AI Adoption: Challenges and First Remedies
- Analytics for Better Business Decision Making
This research group conducts applied research to explore how AI and ML technologies can improve various facets of business operations, including financial forecasting, demand forecasting, inventory management, marketing strategies, and responses to natural disasters, and security measures. Ongoing research projects on this research theme:- Rezaei, M., Lee, I., & Beverly, J., The effect of wildfire suppression resources: Targeting fire groups with enhanced treatment effect
- Rezaei, M., & Ingolfsson, A., Forecasting to support EMS tactical planning: What is important and what is not
- Rekik, Y.., Application of AI in retailing to cope with inventory inaccuracy, ECR funded project with the implication of 9 major retailers (Lidl, REI, Aldi, Tesco, Auchan, Iceberg, MegaImage, Sainsburys, Primark) Category | Ecr Shrink Group (ecrloss.com)
- Rekik, Y., Machine learning based models for the omnichannel supply chain
- Mai, T.Q., Zhou, W., Dong, C. and Rekik, Y., Analytical and data-driven models to cope with food waste and loss in supply chains (PhD project of Thu Quynh Mai)
- Fouquau J. & Schoder, A., Impact of environmental news on finance
- Dong, C., Decarbonizing last-mile logistics
- Dong, C., and D., Li., Achieving Economic and Environmental Sustainability with Supply Chain Contracts
- Innovation and Management of Disruptive Technologies
The goal of this research group is to investigate technologies within the realm of business innovation and management that can significantly alter or revolutionize existing markets and industries, such as IoT, blockchain, RFID, sensor network systems, digital twins, and the physical internet. Ongoing research projects on this theme:- Zhou, W., IoT and blockchain based framework for logistics.
- Zhou, W., physical internet to manage perishable product bundling.
- Rekik, Y., use of blockchain technology in the agriculture supply chain.
Research Center
Artificial Intelligence and Decision Making
Artificial Intelligence and Decision Making
Our Publications
Machine Learning Methodology for Business Studies
Kahalé. N.
2023
Zhong, H., Chen, Y., Liu, C. and Benson, H.
2023
Kahalé. N.
2022
Maliar, L., Maliar, S. and Winant, P.
2022
Kahalé. N.
2020
Kahalé. N.
2020
Kahalé, N.
2019
Zhong, H., Liu, C., Zhong, J. and Xiong, H.
2018
Applications of Language Model in Organization
Bick, M., Breaugh, J., Dong, C., Pina, G., and Waldner, C.
2023
Dong, C., Saxena, A., Bick, M. and Sabia, A.
2023
Liang, Y., Liu, Wl, Li, K., Dong, C., and Lim, M.
2023
Dong, C., Bharambe, S. and Bick, M.
2022
Analytics for Better Business Decision Making
Vafainia, S., Rooderkerk, R. Breugelmans, E., & Bijmolt, T.
2024
Tran M.T., Rekik, Y. and Hadj-Hamou, K.
2024
Fathizadeh, F., Savinien, J. and Rekik, Y.
2024
Ren, X., Gong, Y., Rekik, Y. and Xu, X.
2023
Yang, B., Xu, X., Gong, Y. and Rekik, Y.
2023
Rekik, Y., Glock, Ch., and Syntetos, A.
2023
Innovation and Management of Disruptive Technologies
Li, Q., Rekik, Y. and Hadj-Hamou, K.
2024
Li, Q., Hadj-Hamou, K., and Rekik, Y.
2024
Pelé, P., Schulze, J., Piramuthu, S. and Zhou, W.
2023
Li, L., Tang, O., Zhou, W. and Fan, T.
2023
F Pan, S Pan, W Zhou, T Fan
2022
Research Center
Artificial Intelligence and Decision Making
Artificial Intelligence and Decision Making
Our Contributions To Debates
Impact Papers
Bick, M., Breaugh, J., Dong, C., Pina, G., & Waldner, C.
2023
Benyayer L.D., & Zhong H.
2023
Vafainia, S.
2023
Press(recent contributions)
Benyayer L.D., & Zhong H.
2023
Zhong H.
2023
Zhong H.
2023
Desmichel, P., Maggioni, I., Vafainia S.
Vidéos & Podcasts