Behavioral issues in decision problems: the role of information

  • Viviana VENTRE University of Campania, Italy


Operational research (OR) might exhibit a partial perspective in modelling decisional processes as rational processes, because individual choices are strictly influenced by cognitive and motivational biases which can be different among people and for each person in dierent situation. We point out that the level of information of each problem solver play an important role in causing inconsistent preferences, and we demonstrate that only about strict conditions decision models coincide with real choices, because only in particular cases the optimum and rational decision matches with the real one. Moreover, cognitive and motivational biases influence also the modeler in the process of modelling. Behavioral Operational Research (BOR) studies the influence of behavioral issues in the modelling process, to avoid such kinds of biases and create eficient models to define choices in similar decision processes.


[1] Bechara, A. (2004). The role of emotion in decision-making: Evidence from neurological patients with orbitofrontal damage. Brain and Cognition 55, 30-40.
[2] Bechara, A., H. Damasio, D. Tranel, and A. R. Damasio (1997). Deciding advantageously before knowing the advantageous strategy. Science 275, 1293-1295.
[3] Damasio, A. R. (1994). Descartes' error: Emotion, reason, and the human brain. New York: Grosset/Putnam.
[4] Engelmann, D. and M. Strobel (2004). The False Consensus Effect: Deconstruction and Reconstruction of an Anomaly. CERGE-EI Working Paper No. 233.
[5] Hamalainen, R. P. (2015). Behavioral issues in environmental modeling - The missing perspective. Environmental Modelling and Software 73, 244-253.
[6] Hamalainen, R. P., J. Luoma, and E. Saarinen (2013). On the importance of behavioral operational research: The case of understanding and communicating about dynamic systems. European Journal of Operational Research 228, 623-634.
[7] Longo, A., M. Squillante, A. Ventre, and V. Ventre (2015). The intertemporal choice behaviour - The role of emotions in a multi-agent decision problem. Atti Accad. Pelorit. Pericol. Cl. Sci. Fis. Mat. Nat. 93 (2).
[8] Nussbaum, M. C. (2001). Upheavals of thought. The intelligence of emotions. Cambridge University Press, Cambridge.
[9] Shiv, B., G. Loewenstein, A. Bechara, H. Damasio, and A. R. Damasio (2005). Investment behavior and the negative side of emotion. Psychological Science 16, 435-439.
[10] Squillante, M. and V. Ventre (2010). Assessing False Consensus Effect in a Consensus Enhancing Procedure. International Journal of Intelligent System 25, 274-285.
[11] Strotz, R. H. (1955-1956). Myopia and Inconsistency in Dynamic Utililty Maximization. Review of Economic Studies 23 (3), 165-180.
[12] Thaler, R. and H. M. Shefrin (1981). An Economic Theory of Self-Control. Journal of Political Economy 89 (2), 392-406.
[13] Ventre, A. G. S. and V. Ventre (2012). The intertemporal choice behavior: classical and alternative delay discounting models and control techniques. Atti Accad. Pelorit. Pericol. Cl. Sci. Fis. Mat. Nat. 90 (Suppl. n.1).
How to Cite
VENTRE, Viviana. Behavioral issues in decision problems: the role of information. Journal of Mathematical Economics and Finance, [S.l.], v. 4, n. 2, p. 27-54, dec. 2018. ISSN 2458-0813. Available at: <>. Date accessed: 03 mar. 2024. doi: