Knowledge Creation, Growth, and Transfer within Industrial Networks of Practices The Role of Absorptive Capacity and Direct Centrality

Relational Methodologies and Epistemology in Economics and Management Sciences, IGI Global, ISBN: 9781466697706, 2016

37 Pages Posted: 9 Mar 2018

See all articles by Lucio Biggiero

Lucio Biggiero

University of L'Aquila

Mario Basevi

Italian Statistical Institute

Date Written: March 3, 2016

Abstract

In this chapter we test the hypothesis that uneven links distributions and uneven absorptive capacity between an industrial cluster members provide some kind of competitive advantages. Through an agent-based model has been built and calibrated on real data taken from an aerospace industrial cluster, that hypothesis is contrasted against the normal, the uniform, and the U-shaped distribution. The focus of the model is on knowledge variables, agents’ learning capacities, and structural variables, like firms size and proximity. Physical production is not considered, excepted for its degree of complexity, which determines also the degree of knowledge complexity. This work shows that, actually, the best performance in terms of cluster knowledge creation, growth and diffusion is obtained when firms connectedness and absorptive capacity are distributed in a scale-free way. More generally, the more unbalanced are these two variables (especially absorptive capacity), the better is knowledge performance. These results are rather robust, and obtained while keeping all other variables very balanced at the beginning of each simulation.

Keywords: absorptive capacity, agent-based simulation model, connectedness, industrial cluster, knowledge complexity, knowledge creation, growth and diffusion

JEL Classification: B41, C63, L11, L21, L52, O33

Suggested Citation

Biggiero, Lucio and Basevi, Mario, Knowledge Creation, Growth, and Transfer within Industrial Networks of Practices The Role of Absorptive Capacity and Direct Centrality (March 3, 2016). Relational Methodologies and Epistemology in Economics and Management Sciences, IGI Global, ISBN: 9781466697706, 2016, Available at SSRN: https://ssrn.com/abstract=3133579

Lucio Biggiero (Contact Author)

University of L'Aquila ( email )

Via Giuseppe Mezzanotte
L'Aquila, AQ 67100
Italy
0862434861 (Phone)

HOME PAGE: http://www.luciobiggiero.com

Mario Basevi

Italian Statistical Institute ( email )

Via Cesare Balbo , 16
Rome
Italy

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