The well-known research carried out by Busenitz and Barney (1997) exploring differences in the decision-making processes between entrepreneurs and manag-ers in large organizations has been revisited and redesigned as a starting point to create a computational and theoretical Multi Agent Model (MAM) which shows differences in the decision-making processes. In the original study, researchers showed the presence of a different disposition in incurring in biases and in heu-ristics by entrepreneurs and managers. In particular, two interesting trend curves on the Overconfidence effect have been realized. Authors concluded by stating that the Overconfidence effect is significantly different in entrepreneurs and man-agers and helps distinguish between these two work categories. Starting from this conclusion and from their results, a computational and theoretical MAM has been designed, where, as suggested by the authors, different decision-maker agents can incur in the Overconfidence effect with different degrees.

Differences between entrepreneurs and managers in large organizations: An implementation of a theoretical Multi-Agent Model on overconfidence results

SARTORI, Riccardo;CESCHI, Andrea;Scalco, Andrea
2014-01-01

Abstract

The well-known research carried out by Busenitz and Barney (1997) exploring differences in the decision-making processes between entrepreneurs and manag-ers in large organizations has been revisited and redesigned as a starting point to create a computational and theoretical Multi Agent Model (MAM) which shows differences in the decision-making processes. In the original study, researchers showed the presence of a different disposition in incurring in biases and in heu-ristics by entrepreneurs and managers. In particular, two interesting trend curves on the Overconfidence effect have been realized. Authors concluded by stating that the Overconfidence effect is significantly different in entrepreneurs and man-agers and helps distinguish between these two work categories. Starting from this conclusion and from their results, a computational and theoretical MAM has been designed, where, as suggested by the authors, different decision-maker agents can incur in the Overconfidence effect with different degrees.
2014
Inglese
STAMPA
Esperti anonimi
290
Distributed Computing and Artificial Intelligence, 11th International Conference
Salamanca
June 2014
Internazionale
Distributed Computing and Artificial Intelligence
79
83
5
Multi Agent Models; Organizations; Entrepreneurs; Biases; Overconfidence
none
Sartori, Riccardo; Ceschi, Andrea; Scalco, Andrea
3
04 Contributo in atti di convegno::04.01 Contributo in atti di convegno
273
info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/742363
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