Individual Rigidity and Organizational Learning

18 Pages Posted: 18 May 2018

See all articles by Guido Fioretti

Guido Fioretti

University of Bologna

Gian Paolo Jesi

Fondazione Bruno Kessler (FBK)

Pietro Terna

University of Turin - Collegio Carlo Alberto

Sara Vincenzi

University of Bologna

Date Written: May 4, 2018

Abstract

We make use of an agent-based simulator of organizations with distributed decision-making in order to highlight factors that generate organizational learning curves. We focus on learning curves that arise with decision-makers that make one single, simple decision: routing things to do to those who have the shortest queue.

We find that, in this artificial environment, learning curves are most pronounced when decision-makers are overwhelmed by orders that entail steps linked to one another by AND conditions, when decision-makers are quite rigid, and when there are not too many of them. Our results confirm and extend those we previously obtained on a different simulator. In general terms, our findings suggest that organizations are better able to learn when it single components are incapable to learn.

Keywords: Organizational Learning, Individual Learning, Manufacturing

JEL Classification: D29, D83, L23

Suggested Citation

Fioretti, Guido and Jesi, Gian Paolo and Terna, Pietro and Vincenzi, Sara, Individual Rigidity and Organizational Learning (May 4, 2018). Available at SSRN: https://ssrn.com/abstract=3173571 or http://dx.doi.org/10.2139/ssrn.3173571

Guido Fioretti (Contact Author)

University of Bologna ( email )

Via Capo di Lucca 34
Bologna, 40126
Italy

Gian Paolo Jesi

Fondazione Bruno Kessler (FBK) ( email )

Trento
Italy

Pietro Terna

University of Turin - Collegio Carlo Alberto ( email )

via Real Collegio 30
Moncalieri, Torino 10024
Italy

Sara Vincenzi

University of Bologna ( email )

Bologna
Italy

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