Managerial Decision Sciences Department

Some problems in life are well structured and can be solved by taking well-defined action: when you have a flat tire, you will be able to continue with your journey if you follow the instruction manual. But in the business world, most situations and problems are not so simple. Problems usually have economic, technical and human sides and there is generally not just one right solution. Managers must solve problems efficiently, effectively and ethically every day. “The chief-executive job of tomorrow will include understanding of a host of new basic tools of mathematical and logical analysis, synthesis and measuring. It will require ability to see where these tools can be applied, the power to educate other members of management in their meaning and use, and some elementary skill in applying them.” (Peter Drucker)

By teaching how to carry out effective analysis, the Managerial Decision Sciences Department helps managers solve practical business problems while addressing personal assessment, available data and analytical techniques.

Coursework includes: Structuring of Business Problems; Forecasting, Creativity and Innovation; Sensitivity Analysis; Scenario Simulation; Investment Analysis; Quantitative Methods for Management; Probability Distributions; Model Building; and Intangibles in Decision Making.

Thanks to their research work, the department’s faculty members help extend the limits of knowledge in the areas of decision-making, uncertainty, innovation and intuition.


  • Conference of the European Decision Sciences Institute

Areas of expertise

  • Decision-making in firms
  • Macroeconomic uncertainty
  • Time and uncertainty
  • Country-specific differences in life satisfaction
  • Business performance metrics
  • Corporate governance


Journal Articles (refereed)

PASTORIZA, D., ALEGRE, I., CANELA, M. Á. (2021). Conditioning the effect of prize on tournament self-selection. JOURNAL OF ECONOMIC EDUCATION, 86. doi:10.1016/j.joep.2021.102414. (Online first)
ALEGRE, I., MOLESKIS, M. (2021). Beyond financial motivations in crowdfunding. a systematic literature review of donations and rewards. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 32, 276–287. doi:10.1007/s11266-019-00173-w.
MASSA SALUZZO, F., ALEGRE, I. (2021). Supporting entrepreneurs. The role of third-party endorsement in crowdfunding platforms. Technological Forecasting and Social Change, 162, Article 120402. doi:10.1016/j.techfore.2020.120402.
BERBEGAL-MIRABENT, J., ALEGRE, I., GUERRERO, A. (2020). Mission statements and performance. an exploratory study of science parks. Long Range Planning, 53 (5), Article 101932. doi:
BERBEGAL-MIRABENT, J., ALEGRE, I., OLAYA-ESCOBAR, E. S. (2020). Exploring the relationship between service quality of technology transfer offices and researchers' patenting activity. Technological Forecasting and Social Change, 157. doi:
CASANOVAS-RUBIO, M. D. M., CHRISTEN , C., VALAREZO, L. M., BOFILL, J., FILIMON , N., ARMENGOU., J. (2020). Decision-Making Tool for Enhancing the Sustainable Management of Cultural Institutions: Season Content Programming at Palau De La Música Catalana. Sustainability, 12 (14), Article 5785. doi:10.3390/su12145785.
CASANOVAS-RUBIO, M. D. M., RAMOS, G., ARMENGOU, J. (2020). Minimizing the social impact of construction work on mobility. A decision-making method. Sustainability, 12 (3), 1 - 19. doi:10.3390/su12031183.
DONNELLY, K., MCKENZIE, C. R. M., MÜLLER-TREDE, J. (2019). Do Publications in Low-Impact Journals Help or Hurt a CV? JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, 25 (4), 744 - 752. doi:10.1037/xap0000228.
VÉLEZ-PEREIRA, A. M., DE LINARES, C., CANELA, M. Á., BELMONTE, J. (2019). Logistic regression models for predicting daily airborne Alternaria and Cladosporium concentration levels in Catalonia (NE Spain). International Journal of Biometeorology, 63 (12), 1541 - 1553. doi:10.1007/s00484-019-01767-1.
ALEGRE, I., BERBEGAL-MIRABENT, J., GUERRERO, A. (2019). Mission Statements: What University Research Parks Tell Us About Timing. Journal of Business Strategy, 40 (5), 46 - 53. doi:10.1108/JBS-11-2018-0191.

Working Papers

ARIÑO, M. Á. (2020). Descomposición del PIB de España en el periodo 2002-2019 (WP-1303). Barcelona: IESE.
MOLESKIS, M., ALEGRE, I. (2018). Crowfunding: a short past and long future.
N'GUESSAN, M. N., ALEGRE, I., CANELA, M. Á. (2017). Crowdfunding In Africa. An Empirical Study Of Kiva Platform Users In Sub-Saharan Africa (WP-1172-E). Barcelona: IESE.
ARIÑO, M. A. (2017). Evolución del tejido empresarial español de 2006 a 2014 (WP-1179). Barcelona: IESE.
IBARRA GARZA, A., CUGUERÓ-ESCOFET, N., CANELA, M. Á. (2017). Prosocial Crowdlending in Kenya (WP-1166-E). Barcelona: IESE.


ALEGRE, I., BERBEGAL-MIRABENT, J., GUERRERO, A., MAS-MACHUCA, M. (2018). Mission-statement. A Systematic review of the literature. Proceedings of the III Research Workshop: Mission, leadership and sustainability. (pp. 11-27).
SRIVASTAVA, N., MÜLLER-TREDE, J., SCHRATER, P., VUL, E. (2016). Modeling Sampling Duration in Decisions from Experience. In Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.), Proceedings of the 38th Annual Meeting of the Cognitive Science Society (pp. 2285 - 2290). Cognitive Science Society.
ALEGRE, I. (2016). A light at the end of the tunnel: Mission Statements in Social Enterprises. Book of Abstracts of the II Research Workshop on Missions, leadership and sustainability. Universitat Internacional de Catalunya.
MAS-MACHUCA, M., BERBEGAL MIRABEN, J., ALEGRE, I. (2015). The role of work-family balance on job satisfaction. In Ritta Cavallotti and Consuelo León (Ed.), Family and sustainable development : Proceedings of the Second International Conference Family and Society : 24-25 September, 2014, Barcelona (pp. 441 - 455).
GARCÍA-CASTRO, R. (2012). An Extension of the VCA Model to Estimate Stakeholder Value Appropriation. Academy of Management Proceedings: Meeting Abstract Supplement.

ALEGRE, I. (2021). Does Voluntary regulation supplement or substitute for organizations’ readiness for climate change?. Evidence of theiImpact of voluntary regulation on green public procurement. SMS 41st Annual Conference, Virtual Toronto.
ALEGRE, I. (2021). Evaluation systems in online evironments. 7th International Conference on Higher Education Advances (HEAd'21).
ALEGRE, I. (2020). Conditioning the effect of prize on tournament self-selection. INFORMS Annual Meeting 2020, Virtual.
ALEGRE, I. (2020). Conditioning the effect of prize on tournament self-selection. SMS 40th Annual Conference, Virtual.
ALEGRE, I. (2020). Crowdfunding PDW. 80th Annual Meeting of the Academy of Management.

Articles in other publications

GARCÍA-CASTRO, R., ARIÑO, M. A. (2019). Cómo tomar decisiones maravillosas. IESE Business School Insight (154), pp. 68 - 74.
GARCÍA-CASTRO, R., ARIÑO, M. A. (2019). Wonderful decisions. IESE Business School Insight (154), pp. 68 - 75.
ALEGRE, I., CANELA, M. Á. (2018). 'Marketing intelligence', una evolución necesaria de los sistemas BI que demanda competencias clave. Harvard Deusto Márketing y Ventas (152), pp. 38 - 45.
DE SANTIAGO, R. (2017). Decision Tools to Keep You on the Right Path: Improve Your Odds of Success (Portuguese version). IESE Insight, pp. 15 - 22.
IESE INSIGHT, (2017). El efecto del clima en el consumidor. IESE Insight (33), pp. 7 - 11.


CANELA, M. Á., ALEGRE, I., IBARRA, A. (2019). Quantitative Methods for Management: A Practical Approach. Berlin: Springer.
GARCÍA-CASTRO, R. (2019). Business Analytics R.
GARCÍA-CASTRO, R., ARIÑO, M. A. (2018). Wonderful Decisions.
ARIÑO, M. A., MAELLA, P. (2017). Con la misma piedra: Los 10 errores que todos cometemos al decidir. Barcelona: Empresa Activa.
ARIÑO, M. A., MAELLA, P. (2011). Iceberg Sighted (e-book). Decision-Making Techniques to Avoid Titanic Disasters. Barcelona:

Book Chapters

BASTONS, M., BENGURÍA, R., ARMENGOU, J., REY, C. (2020). Mission-based corporate sustainability. the Aigües de Barcelona model. In Díaz Díaz, B.; Capaldi, N.; Idowu, S.O.; Schmidpeter, R. (Eds.), Responsible business in a changing world: new management approaches for sustainable development (pp. 311 - 328). Cham: Springer International Publishing.
HEUKAMP, F. (2019). AI and the Leadership Development of the Future. In Jordi Canals, Franz Heukamp (Eds.) (Eds.), The Future of Management in an AI World: Redefining Purpose and Strategy in the Fourth Industrial Revolution (pp. 137 - 148). Basingstoke [England]: Palgrave Macmillan.
CANELA, M. Á., GUÇLU, B., ALEGRE, I. (2019). An Exploratory Analysis Using Co-Authorship Network: Trends in Risk Behavior. In Dileep Kumar G. (Ed.), Machine Learning Techniques for Improved Business Analytics (pp. 166 - 200). Hershey, PA: Igi Global.
N'GUESSAN, M. N., ALEGRE, I., BERBEGAL MIRABEN, J., MAS-MACHUCA, M. (2018). Crowd lending: A global phenomenon arrives to Sub-Saharan Africa. In Nezameddin Faghih (Ed.), Globalization in Developing Economies. Berlin: Springer.
GARCÍA-CASTRO, R., LIEBERMAN, M., RICART, J. E., BALASUBRAMANIAN, N. (2018). Business Model Innovation and Replication: Implications for the Measurement of Productivity. In Emili Grifell-Tatjé, C.A. Knox Lovell and Robin C. Sickles (Eds.), Oxford Handbook of Productivity Analysis (pp. 359 - 385). Cape Town: Oxford University Press.


PRADERIO, M., ZANCA, J., IGLESIAS, A., ARIÑO, M. A. (2020). Modeling epidemic effects via multi-phase partitioned SEIQRD. Bee The Data.
ALEGRE, I., CHINCHILLA, N., LEÓN, C., CANELA, M. Á. (2007). Políticas de conciliación, liderazgo y cultura en 2.200 PYMES españolas.


GARCÍA-CASTRO, R. (2021). Swedbank. IESE, AD-376-E.
GARCÍA-CASTRO, R. (2020). ScriptBook. IESE, AD-373-E.
GARCÍA-CASTRO, R. (2020). ScriptBook. IESE, AD-373.
DE SANTIAGO, R. (2020). WoKou Robotics. IESE, AD-372-E.
OSUNA, I., ALEGRE, I., CANELA, M. Á. (2019). The Sales Trend at Guarini. IESE, AD-370-E.

Technical Notes

DE SANTIAGO, R. (2020). Continuous Discounting. IESE, ADN-285-E.
DE SANTIAGO, R. (2019). Monte Carlo Simulation. IESE, ADN-284-E.
GARCÍA-CASTRO, R., GARCÍA-MÉNDEZ, I. (2017). Toma de decisiones intuitiva: el método HAD. IESE, ADN-282.
DE SANTIAGO, R. (2015). Excel Tips for Advanced Users. IESE, ADN-281-E.
AGELL, P., ARIÑO, M. A. (2015). Time Series Sales Forecasting. IESE, ADN-279-E.