Pubblicazioni

Autori:

Sartori, Riccardo; Ceschi, Andrea; Scalco, Andrea

Titolo:

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

Anno:

2014

Tipologia prodotto:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Lingua:

Inglese

Formato:

A Stampa

Nome rivista:

ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING

ISSN Rivista:

2194-5357

N° Volume:

290

Titolo del Convegno:

Distributed Computing and Artificial Intelligence, 11th International Conference

Luogo:

Salamanca

Periodo:

June 2014

Intervallo pagine:

79-83

Parole chiave:

Multi Agent Models; Organizations; Entrepreneurs; Biases; Overconfidence

Breve descrizione dei contenuti:

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.

Id prodotto:

81855

Handle IRIS:

11562/742363

depositato il:

17 giugno 2014

ultima modifica:

26 novembre 2022

Citazione bibliografica:

Sartori, Riccardo; Ceschi, Andrea; Scalco, Andrea, Differences between entrepreneurs and managers in large organizations: An implementation of a theoretical Multi-Agent Model on overconfidence results in «ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING» vol. 290  in Distributed Computing and Artificial Intelligence , Atti di "Distributed Computing and Artificial Intelligence, 11th International Conference" , Salamanca , June 2014 , 2014 , pp. 79-83

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