Network dynamics and its impact on innovation outcomes

R&D consortia in the Dutch water sector

Journal Article (2023)
Author(s)

Remco S. Mannak (Tilburg University)

Arjan Markus (Eindhoven University of Technology)

Marius T.H. Meeus (Tilburg University)

Jörg Raab (Tilburg University)

Alexander C. Smit (TU Delft - Values Technology and Innovation, TU Delft - Economics of Technology and Innovation)

DOI related publication
https://doi.org/10.1016/j.socnet.2023.02.004 Final published version
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Publication Year
2023
Language
English
Journal title
Social Networks
Volume number
74
Pages (from-to)
62-70
Downloads counter
136
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Abstract

In this study, we explore the relationship between inter-organizational network dynamics and innovation outcomes. We focus on node turnover and argue that both cluster and broker dynamics can range from low (stable) to high (volatile), resulting in differentiated outcomes. The data comprises 318 consortium members participating in 104 R&D consortia forged in a 23-year period in the Dutch water sector. Our analysis reveals two equifinal combinations (stable brokers – volatile clusters and volatile brokers – stable clusters) that both generate significantly higher innovation outcomes compared to networks with low, moderate, or high dynamics across the entire network.