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

Remco Mannak; Arjan Markus; Marius 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 Mannak^*, Arjan Markus, Marius Meeus, Jörg Raab, Alexander C. Smit

^*Corresponding author for this work

Organization Studies

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

7 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
Journal	Social Networks
Volume	74
DOIs	https://doi.org/10.1016/j.socnet.2023.02.004
Publication status	Published - 2023

Keywords

COLLABORATION
CREATION
EVOLUTION
Innovation
KNOWLEDGE TRANSFER
LOCUS
MANAGEMENT
MODELS
Network dynamics
Network structure
Node turnover
R&D consortia
SMALL WORLDS
STABILITY

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10.1016/j.socnet.2023.02.004Licence: CC BY

OS Mannak network dynamics and its impact on innovation outcomes SN 2023Final published version, 950 KBLicence: CC BY

Cite this

@article{0fca83c08e874dd8b5a3b8f648520eea,

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 = "COLLABORATION, CREATION, EVOLUTION, Innovation, KNOWLEDGE TRANSFER, LOCUS, MANAGEMENT, MODELS, Network dynamics, Network structure, Node turnover, R&D consortia, SMALL WORLDS, STABILITY",

author = "Remco Mannak and Arjan Markus and Marius Meeus and J{\"o}rg Raab and Smit, {Alexander C.}",

note = "This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.",

year = "2023",

doi = "10.1016/j.socnet.2023.02.004",

language = "English",

volume = "74",

pages = "62--70",

journal = "Social Networks",

issn = "0378-8733",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Network dynamics and its impact on innovation outcomes

T2 - R&D consortia in the Dutch water sector

AU - Mannak, Remco

AU - Markus, Arjan

AU - Meeus, Marius

AU - Raab, Jörg

AU - Smit, Alexander C.

N1 - This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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 - COLLABORATION

KW - CREATION

KW - EVOLUTION

KW - Innovation

KW - KNOWLEDGE TRANSFER

KW - LOCUS

KW - MANAGEMENT

KW - MODELS

KW - Network dynamics

KW - Network structure

KW - Node turnover

KW - R&D consortia

KW - SMALL WORLDS

KW - STABILITY

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U2 - 10.1016/j.socnet.2023.02.004

DO - 10.1016/j.socnet.2023.02.004

M3 - Article

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

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