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 (Corresponding author), Arjan Markus (Corresponding author), Marius T.H. Meeus (Corresponding author), Jörg Raab (Corresponding author), Alexander C. Smit (Corresponding author)

Innovation Technology Entrepreneurship & Marketing

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

6 Citations (Scopus)

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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 - Jul 2023

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Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector
Mannak, R. S. (Creator), Markus, A. (Creator), Meeus, M. T. H. (Creator), Raab, J. (Creator) & Smit, A. C. (Creator), DataverseNL, 2024
DOI: 10.34894/pizu7d, https://dataverse.nl/citation?persistentId=doi:10.34894/PIZU7D
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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.",

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AU - Meeus, Marius T.H.

AU - Raab, Jörg

AU - Smit, Alexander C.

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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.

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DO - 10.1016/j.socnet.2023.02.004

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JO - Social Networks

JF - Social Networks

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

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

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