Rivalry and Learning among Clustered and Isolated Firms

36 Pages Posted: 16 Jun 2008 Last revised: 12 Jun 2014

See all articles by Cristina Boari

Cristina Boari

University of Bologna - Department of Economics

Guido Fioretti

University of Bologna

Vincenza Odorici

Department of Management - University of Bologna

Date Written: June 1, 2008

Abstract

In this paper explore the relationships between rivalry and geographical proximity at the very level of contacts between individual firms. In particular, we wish to highlight the influence of geographical proximity on rival identification, on the comparison of their knowledge, and on the consequent elaboration of a strategy. In order to reproduce the interactions between firms, we made use of an agent-based model (ABM) where the strategic choices of rival firms are derived from general assumptions on competitive behavior and learning processes. Aim of the model is to investigate the co-evolution of firms' knowledge, strategies and performances. Substantial empirical evidences claim that firms located in geographical clusters are more likely to learn and innovate than isolated firms.

Keywords: rivalry, inter-organizational learning, geographical proximity, knowledge, innovation, agent-based model, geographical cluster, co-evolution

JEL Classification: O31, D83, C15

Suggested Citation

Boari, Cristina and Fioretti, Guido and Odorici, Vincenza, Rivalry and Learning among Clustered and Isolated Firms (June 1, 2008). Available at SSRN: https://ssrn.com/abstract=1145308 or http://dx.doi.org/10.2139/ssrn.1145308

Cristina Boari

University of Bologna - Department of Economics ( email )

Strada Maggiore 45
Bologna, 40125
Italy

Guido Fioretti

University of Bologna ( email )

Via Capo di Lucca 34
Bologna, 40126
Italy

Vincenza Odorici (Contact Author)

Department of Management - University of Bologna ( email )

via Capo di Lucca, 34
Bologna, Bologna 40126
Italy

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