Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity

Ivan Savin*, Abiodun Egbetokun

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

30 Citations (Scopus)

Abstract

This paper extends the existing literature on strategic R&D alliances by presenting a model of innovation networks with endogenous absorptive capacity. The networks emerge as a result of dynamic cooperation between firms occupying different locations in the knowledge space. Partner selection is driven by absorptive capacity which is itself influenced by cognitive distance and R&D investment allocation. Under different knowledge regimes, we examine the structure of networks that emerge and how firms perform within such networks. We find networks that exhibit small world properties which are generally robust to changes in the knowledge regime. Certain network strategies such as occupying brokerage positions or maximising accessibility to potential partners pay off, especially in 'young' industries with limited involuntary but abundant voluntary spillovers. This particular result is driven by endogenous absorptive capacity.

Original languageEnglish
Pages (from-to)82-103
Number of pages22
JournalJournal of Economic Dynamics and Control
Volume64
DOIs
Publication statusPublished - 1 Mar 2016

Keywords

  • Absorptive capacity
  • Agent-based modeling
  • Cognitive distance
  • Innovation
  • Knowledge spillovers
  • Networks

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