Nonlinear Dynamics, Psychology, and Life Sciences, Vol. 25, Iss. 4, Oct, 2021, pp. 507-522 @2021 Society for Chaos Theory in Psychology & Life Sciences Identifying Rivals Among Clustered and Isolated Firms: An Empirical Investigation and a Computational Model Abstract: We carried out an empirical investigation among producers of packaging machines collecting information
about their rivals, i.e., those few competitors which they closely monitor. We found interesting regularities
that take geographically clustered firms apart from isolated firms, that existing theories left unexplained.
By constructing an agent-based model we were able to formulate a simple and plausible heuristic for rival selection
which is able to generate the empirically observed facts. We submit that this case is exemplary in showing what
agent-based models can do, namely, providing sufficiency proofs that help theory-building. Keywords: inter-firm rivalry, industrial clusters, packaging machines, agent-based models, knowledge heterogeneity, knowledge homogeneity |