Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector

Remco S. Mannak; Arjan Markus; Marius T.H. Meeus; Jörg Raab; Alexander C. Smit

doi:10.1016/j.socnet.2023.02.004

Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector

Remco S. Mannak^*, Arjan Markus, Marius T.H. Meeus, Jörg Raab, Alexander C. Smit

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

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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.

Original language	English
Pages (from-to)	62-70
Number of pages	9
Journal	Social Networks
Volume	74
DOIs	https://doi.org/10.1016/j.socnet.2023.02.004
Publication status	Published - 2023

Keywords

Innovation
Network dynamics
Network structure
Node turnover
R&D consortia

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10.1016/j.socnet.2023.02.004

1-s2.0-S0378873323000138-mainFinal published version, 950 KBLicence: CC BY

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title = "Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector",

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.",

keywords = "Innovation, Network dynamics, Network structure, Node turnover, R&D consortia",

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T2 - R&D consortia in the Dutch water sector

AU - Mannak, Remco S.

AU - Markus, Arjan

AU - Meeus, Marius T.H.

AU - Raab, Jörg

AU - Smit, Alexander C.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Innovation

KW - Network dynamics

KW - Network structure

KW - Node turnover

KW - R&D consortia

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DO - 10.1016/j.socnet.2023.02.004

M3 - Article

AN - SCOPUS:85148675779

SN - 0378-8733

VL - 74

SP - 62

EP - 70

JO - Social Networks

JF - Social Networks

ER -

Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector

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Keywords

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