A model of innovation and knowledge development among boundedly rational rival firms

Authored by Guido Fioretti, Cristina Boari, Vincenza Odorici

Date Published: 2017

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Model Documentation: Other Narrative Pseudocode

Model Code URLs: Model code not found

Abstract

Purpose The purpose of this paper is to explore the significance of bounded rationality for innovation research. It does so by expounding the structure and the assumptions of an agent-based model where boundedly rational actors engage in knowledge development and imitation. It is a conceptual paper that illustrates the model but does not present its results. Design methodology approach This model explores the consequences of common theoretical hypotheses and empirical stylized facts regarding innovation, knowledge development and knowledge management by geographically clustered rival firms. This model artificially generates innovations, unknown and unexpected to the artificial decision-makers. As the set of possibilities is not known a priori to the agents, they cannot apply utility maximization. Bounded rationality enters this model both as behavioural rules of thumb and as cognitive constraints on their application. Findings This paper illustrates a model. Originality value This paper links innovation studies to the concept of bounded rationality. It shows what problems must be faced and what issues must be addressed by an agent-based model on this subject.

Tags

Uncertainty exaptation Industrial districts networks Organization Capacity Centrality Betweenness Imperfect information Additional evidence