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)

CASANOVAS-RUBIO, M. D. M., RAMOS, G., ARMENGOU ORÚS, J. (2020). Minimizing the social impact of construction work on mobility. a decision-making method. Sustainability, 12 (3), 1 - 19. doi:
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., MOLESKIS, M. (2019). Beyond financial motivations in crowdfunding. a systematic literature review of donations and rewards. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations. doi: (Online first)
BERBEGAL-MIRABENT, J., GUERRERO, A., ALEGRE, I. (2019). Mission statements and performance. an exploratory study of science parks. Long Range Planning. doi: (Online first)
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.
DE LA FUENTE, A., CASANOVAS-RUBIO, M. D. M., PONS, O., ARMENGOU ORÚS, J. (2019). Sustainability of Column-Supported RC Slabs: Fiber Reinforcement as an Alternative. Journal of Construction Engineering and Management, 145 (7). doi:10.1061/(ASCE)CO.1943-7862.0001667.
MOLESKIS, M., ALEGRE, I., CANELA, M. Á. (2019). Crowdfunding Entrepreneurial or Humanitarian Needs? The Influence of Signals and Biases on Decisions. Nonprofit and Voluntary Sector Quarterly, 48 (3), 552 - 557. doi:10.1177/0899764018802367.
LEONG, L. M., MCKENZIE, C. R. M., SHER, S., MÜLLER-TREDE, J. (2019). Illusory Inconsistencies in Judgment: Stimulus-Evoked Reference Sets and Between-Subject Designs. Psychonomic Bulletin & Review, 26 (2), 647 - 653. doi:10.3758/s13423-019-01585-x.
CABALLERO MORENO, W. G., ALEGRE, I., ARMENGOU ORÚS, J., AGUADO, A. (2019). Self-construction in informal settlements. a multiple-criteria decision-making method for assessing sustainability of floor slabs in Bucaramanga, Colombia. Journal of Housing and the Built Environment, 34 (1), 195 - 217. doi:10.1007/s10901-018-9606-5.

Working Papers

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.
IBARRA GARZA, A., CUGUERÓ-ESCOFET, N., CANELA, M. Á. (2017). Prosocial Crowdlending in Kenya (WP-1166-E). Barcelona: IESE.
ALEGRE, I., MOLESKIS, M. (2016). Crowdfunding: A Review and Research Agenda (WP-1142-E). Barcelona: IESE.
MOLESKIS, M., CANELA, M. Á. (2016). Crowdfunding Success: The Case Of Kiva.Org (WP-1137-E). Barcelona: IESE.
GARCÍA-CASTRO, R., ARIÑO, M. A. (2013). A General Approach to Panel Data Set-Theoretic Research (WP-1106-E).


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.
ARIÑO, M. A., MUCKENHOUPT, B. (1991). A characterization of the dual of the classical Lorentz sequence space d(w , q). Proceedings of the American Mathematical Society (pp. 87 - 89).

Articles in other publications

GARCÍA-CASTRO, R., ARIÑO, M. A. (2019). Wonderful decisions. IESE Business School Insight (154), pp. 68 - 75.
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). Rainy With a Chance of Sales. IESE Insight (33), pp. 7 - 11.
ALEGRE, I., ARIÑO, M. A., CANELA, M. Á. (2017). Big Data: Where To Begin?. How To Get The Most Out Of Data Analysis. Alumni Magazine (145), pp. 22 - 25.
ARIÑO, M. A. (2015). Are Companies Taking Unnecessary Risks?. Decision Analysis. Alumni Magazine (137), pp. 20 - 23.


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. (2011). Iceberg Sighted (e-book). Decision-Making Techniques to Avoid Titanic Disasters. Barcelona:
GARCÍA-CASTRO, R. (2010). The Governance of the Firm. Value Creation, Employment Contracts and Stakeholder Management. Saarbrücken, Germany: Lap Lambert Academic Publishing.

Book Chapters

BASTONS, M., BENGURÍA, R., ARMENGOU ORÚS, 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.


GARCÍA-CASTRO, R. (2020). ScriptBook. IESE, AD-373-E.
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.
N'GUESSAN, M. N., ALEGRE, I., CANELA, M. Á. (2019). HR Analytics at Barney. IESE, AD-369-E.
DE SANTIAGO, R. (2019). DJ World Conference. IESE, AD-368-E.

Technical Notes

DE SANTIAGO, R. (2020). Continuous Discounting. IESE, ADN-285-E.
DE SANTIAGO, R. (2019). Monte Carlo Simulation. IESE, ADN-284-E.
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.
GARCÍA-CASTRO, R. (2015). Measuring Risk in Investment Projects: NPV at Risk. IESE, ADN-280-E.