Victor
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 a professor in IESE’s Department of Operations, Information and Technology.

He joined IESE in 2004 after earning a Ph.D. at the Operations Research Center of the Massachusetts Institute of Technology (MIT) and an engineering degree at École Polytechnique in France.

His research focuses on supply chain management, where procurement, production and distribution decisions can help companies compete more successfully in the global arena. He started his career working on procurement and supply issues, where a balanced sourcing portfolio can provide low cost, flexibility and innovation opportunities. He has spent the last decade working on retail topics, where he has developed models for fashion trends (apparel, music, etc.) and optimized operations in volatile markets. He runs a yearly Fashion Operations conference that gathers leading academics and practitioners to discuss future trends in retailing.

His work has been published in journals such as Management Science, Operations Research, Manufacturing and Services Operations Management, or Production and Operations Management. He has received support by the European Research Council (ERC), the Spanish Ministry of Economics and Competitiveness, and La Caixa foundation. In 2015 he was awarded the Sabadell Herrero prize for Economic Research and in 2018 the MSOM Young Scholar Prize. He is also a Department Editor of Management Science, and has been a member of the editorial boards of Manufacturing and Services Operations Management, and Production and Operations Management.

In addition, Prof. Martínez de Albéniz teaches IESE courses on operations management, operations strategy, advanced methods for operations and new product development, both at the executive and MBA levels. He has also taught at other schools such as MIT, MDE (Côte d’Ivoire) or the Indian School of Business.

Areas of interest.

* Retail
* Supply chain management
* Procurement
* Innovation and product development

Publications

Journal Articles (refereed)

DESHMANE, A., MARTÍNEZ DE ALBÉNIZ, V. (2023). Come together, right now? An Empirical study of collaborations in the music industry. Management Science, 69 (12), 7217-7235. doi:10.1287/mnsc.2023.4743. MARTÍNEZ DE ALBÉNIZ, V., PINTO, C., AMORIM, P. (2022). Driving supply to marketplaces. Optimal platform pricing when suppliers share inventory. Manufacturing & Service Operations Management, 24 (4), 1887-2386. doi:10.1287/msom.2022.1105. MARTÍNEZ DE ALBÉNIZ, V., KUNNUMKAL, S. (2022). A Model for integrated inventory and assortment planning. Management Science, 68 (7), 5049-5067. doi:10.1287/mnsc.2021.4149.

Working Papers

MARTÍNEZ DE ALBÉNIZ, V., APARICIO, D., BALSACH, J. (2022). The Effects of COVID-19 on the Retail Economy: Store Restrictions, Consumer Panic, and Travel Shocks.

Outreach 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.

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.

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. Revista de Antiguos Alumnos. MARTÍNEZ DE ALBÉNIZ, V. (2017). Five Tips on Big Data Optimization for Retailers. Alumni Magazine.