Víctor
Martínez de Albéniz

Professor of Operations, Information and Technology

• Ph.D. in Operations Research, Massachusetts Institute of Technology
• Degree in Engineering, École Polytechnique, France

Víctor Martínez de Albéniz is Professor in the Operations, Information and Technology Department. He joined IESE Business School in 2004 after earning a Ph.D. from the Operations Research Center at the Massachusetts Institute of Technology (MIT) and an engineering degree from École Polytechnique in France.

At IESE, he has served as Department Chair and Director of the Research Division. He currently is working on the new IESE Institute for Social Development, which focuses on improving public management policies through data-driven research centered on territorial, economic, and human development in the public domain.

His research spans a broad spectrum of Operations Management. He began his career working on supply chain management, optimizing inventory and purchasing systems to combine low costs with flexibility and innovation. He then moved into the retail sector, developing fashion trend forecasts, leveraging big data to respond to demand shocks, and optimizing the in-store customer experience. More recently, he has applied his expertise to improving education systems.

His work has been published in journals such as Management Science, Operations Research, Manufacturing and Service Operations Management, and Production and Operations Management. He has received support from the European Research Council (ERC), Spain’s Ministry of Economy and Competitiveness, and the La Caixa Foundation. He was awarded the Sabadell Herrero Prize for Economic Research in 2015 and the MSOM Young Scholar Prize in 2018. He has also served on the editorial boards of Manufacturing and Service Operations Management and Production and Operations Management, and was a Department Editor for Management Science from 2018 to 2025.

Professor Martínez de Albéniz teaches courses on operations management, operations strategy, advanced methods for operations, and new product development at IESE, both in the MBA and executive programs. He has also taught at institutions including MIT, MDE (Ivory Coast), and the Indian School of Business.

In addition, he has founded two analytics startups in the retail sector—Datactions and Robinbrick—and has played an active role as Chief Technology Officer (CTO) there.

Areas of interest.

• Retail
• Education
• Services
• Supply chain management

Publications

Journal Articles (refereed)

HASSANZADEH, A., MARTÍNEZ DE ALBÉNIZ, V. (2026). Positioning of omnichannel inventories to protect revenue. International Journal of Production Economics, 291, 109853. doi:10.1016/j.ijpe.2025.109853. DESHMANE, A., MARTÍNEZ DE ALBÉNIZ, V. (2025). Play it again, Sam? Reference-point formation and product differentiation in the music industry. Management Science, 71 (10), 8304-8318. doi:10.1287/mnsc.2022.03319. CARO, F., MARTÍNEZ DE ALBÉNIZ, V., APAOLAZA, B. (2025). The Value of online interactions for store execution. Manufacturing & Service Operations Management, 27 (5), 1464-1483. doi:10.1287/msom.2024.1290.

Working Papers

MARKAKIS, M. G., MARTÍNEZ DE ALBÉNIZ, V., SERRANO, M. (2024). Bayesian demand learning and revenue management under limited capacity. SSRN Electronic Journal. MARKAKIS, M. G., MARTÍNEZ DE ALBÉNIZ, V., BARRIOLA, X., SÁNCHEZ, C. (2023). Building and maintaining an assortment of durable goods. SSRN Electronic Journal. DESHMANE, A., MARTÍNEZ DE ALBÉNIZ, V., ROELS, G. (2023). Intertemporal spillovers in consumer experiences. Empirical evidence and service design implications.

Book Chapters

LAGO, A., MARTÍNEZ DE ALBÉNIZ, V., MOSCOSO, P., VALL, A. (2016). The Role of Quick Response in Accelerating Sales of Fashion Goods. In Tsan-Ming Choi (Ed.), Analytical Modeling Research in Fashion Business (pp. 51 - 78). Berlin: Springer. CARO, F., MARTÍNEZ DE ALBÉNIZ, V. (2015). Fast Fashion: Business Model Overview and Research Opportunities. In Narendra Agrawal, Stephen A. Smith (Eds.), Retail Supply Chain Management: Quantitative Models and Empirical Studies (pp. 237 - 264). Berlin: Springer. MARTÍNEZ DE ALBÉNIZ, V. (2011). Using Supplier Portfolios to Manage Demand Risk. In P. Kouvelis, O. Boyabatli, L. Dong, and R. Li (Eds.), Handbook of Integrated Risk Management in Global Supply Chains (pp. 425 - 446). Chichester: John Wiley & Sons.

Non-refereed articles

MARTÍNEZ DE ALBÉNIZ, V., ABHISHEK DESHMANE, ALI AOUAD (2023). For the best experience, let data be your guide. IESE Business School Insight (163). MARTÍNEZ DE ALBÉNIZ, V., ABHISHEK DESHMANE, ALI AOUAD (2023). Guiate por los datos y ofrecerás la mejor experiencia. IESE Business School Insight (163). CARO, F., MARTÍNEZ DE ALBÉNIZ, V. (2014). How Fast Fashion Works: Can It Work for You, Too?. Operational Innovation. IESE Insight (21), pp. 58 - 65.

Studies

MARTÍNEZ DE ALBÉNIZ, V., ECHAVE MARTÍNEZ, C. (2020). 'Big data' al servei de la inclusió social. MARTÍNEZ DE ALBÉNIZ, V., ECHAVE MARTÍNEZ, C. (2020). Big Data at the service of social inclusion.

Cases

MARTÍNEZ DE ALBÉNIZ, V. (2023). Distribution Strategy at Mango. IESE, OIT-33-E. MARKAKIS, M. G., MARTÍNEZ DE ALBÉNIZ, V. (2023). La mejora de la productividad de la última milla en Paack. IESE, OIT-17. MARKAKIS, M. G., MARTÍNEZ DE ALBÉNIZ, V. (2023). Improving Last-Mile Productivity at Paack. IESE, OIT-17-E.

Technical Notes

MARTÍNEZ DE ALBÉNIZ, V. (2011). Linear Programming Basics. IESE, PN-477-E. MARTÍNEZ DE ALBÉNIZ, V. (2011). Fundamentos de programación lineal. IESE, PN-477. LAGO, A., MARTÍNEZ DE ALBÉNIZ, V. (2009). Queue Management. Methodology for Basic Queue Analysis. IESE, PN-441-E.

Outputs in other media

MARTÍNEZ DE ALBÉNIZ, V. (2024). Who Shakira should collaborate with next – what our AI research suggestsiz. The Conversation. MARTÍNEZ DE ALBÉNIZ, V. (2017). Cómo optimizar el big data en las ventas. IESE Revista de Antiguos Alumnos. MARTÍNEZ DE ALBÉNIZ, V. (2017). Five Tips on Big Data Optimization for Retailers. IESE Alumni Magazine.