As extensive experimental research has shown individuals suffer from diverse biases in decision-making. In our paper we analyze the effects of decision-making biases of managers in collaborative decision processes on organizational performance. The analysis employs an agent-based simulation model which is based on the NK model. In the simulations, managerial decisions which are based on different levels of organizational complexity and different incentive systems suffer from biases known from descriptive decision theory. The results illustrate how biases in combination with each other and in different organizational contexts affect organizational performance. We find that, contrary to intuition, some combinations of biases significantly improve organizational performance while these biases negatively affect organizational performance when they occur separately. This might evoke considerations whether decision-making should be as rational as possible. © 2013 Springer-Verlag.
Berlinger, S., & Wall, F. (2013). Effects of combined human decision-making biases on organizational performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7838 LNAI, pp. 27–42). https://doi.org/10.1007/978-3-642-38859-0_3