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Getting the right balance: university networks' influence on spin-offs' attraction of funding for innovation

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Getting the right balance: university networks' influence on spin-offs' attraction of funding for innovation. / Soetanto, Danny; van Geenhuizen, Marina.
In: Technovation, Vol. 36-37, 02.2015, p. 26-38.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Soetanto D, van Geenhuizen M. Getting the right balance: university networks' influence on spin-offs' attraction of funding for innovation. Technovation. 2015 Feb;36-37:26-38. doi: 10.1016/j.technovation.2014.10.008

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@article{c0995068698e456fa6367ddf6f152171,
title = "Getting the right balance: university networks' influence on spin-offs' attraction of funding for innovation",
abstract = "Little research has been done on how the relationships of academic spin-off firms with their parent university influence their ability to attract funding for innovation activities. University is undoubtedly important for young spin-offs, not only because it provides knowledge and research facilities, but also because it enables access to financial capital. We drew on a sample of 100 firms in clarifying whether and how the relationship with the university increases the ability of the spin-offs in attracting funding for research and development and to what extent this depends on different network characteristics, such as size, density, strength of ties, and multiplexity. In this study we adopted the model of curvelinearity, derived from ideas on increasing and decreasing returns. We found that all four university network characteristics have a positive relationship with the spin-offs' ability to attract funding. Interestingly, diminishing returns were only identified when it comes to strength of ties and network multiplexity. Accordingly, a relationship tended to be beneficial as long as it was not too strong or too complex. Moreover, the ability to acquire funding tended to increase if the spin-offs develop a well-connected network of university and non-university contacts. The article concludes with some theoretical and practical implications and with suggestions for future research. (C) 2014 Elsevier Ltd. All rights reserved.",
keywords = "Academic spin-off firms, University, Networks, Funding for innovation, Linear and curvelinear trends, EMPIRICAL-ANALYSIS, SECTORAL PATTERNS, TECHNOLOGY FIRMS, SOCIAL NETWORKS, OUT COMPANIES, SCIENCE PARKS, START-UPS, PERFORMANCE, KNOWLEDGE, ORGANIZATIONS",
author = "Danny Soetanto and {van Geenhuizen}, Marina",
year = "2015",
month = feb,
doi = "10.1016/j.technovation.2014.10.008",
language = "English",
volume = "36-37",
pages = "26--38",
journal = "Technovation",
issn = "0166-4972",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Getting the right balance

T2 - university networks' influence on spin-offs' attraction of funding for innovation

AU - Soetanto, Danny

AU - van Geenhuizen, Marina

PY - 2015/2

Y1 - 2015/2

N2 - Little research has been done on how the relationships of academic spin-off firms with their parent university influence their ability to attract funding for innovation activities. University is undoubtedly important for young spin-offs, not only because it provides knowledge and research facilities, but also because it enables access to financial capital. We drew on a sample of 100 firms in clarifying whether and how the relationship with the university increases the ability of the spin-offs in attracting funding for research and development and to what extent this depends on different network characteristics, such as size, density, strength of ties, and multiplexity. In this study we adopted the model of curvelinearity, derived from ideas on increasing and decreasing returns. We found that all four university network characteristics have a positive relationship with the spin-offs' ability to attract funding. Interestingly, diminishing returns were only identified when it comes to strength of ties and network multiplexity. Accordingly, a relationship tended to be beneficial as long as it was not too strong or too complex. Moreover, the ability to acquire funding tended to increase if the spin-offs develop a well-connected network of university and non-university contacts. The article concludes with some theoretical and practical implications and with suggestions for future research. (C) 2014 Elsevier Ltd. All rights reserved.

AB - Little research has been done on how the relationships of academic spin-off firms with their parent university influence their ability to attract funding for innovation activities. University is undoubtedly important for young spin-offs, not only because it provides knowledge and research facilities, but also because it enables access to financial capital. We drew on a sample of 100 firms in clarifying whether and how the relationship with the university increases the ability of the spin-offs in attracting funding for research and development and to what extent this depends on different network characteristics, such as size, density, strength of ties, and multiplexity. In this study we adopted the model of curvelinearity, derived from ideas on increasing and decreasing returns. We found that all four university network characteristics have a positive relationship with the spin-offs' ability to attract funding. Interestingly, diminishing returns were only identified when it comes to strength of ties and network multiplexity. Accordingly, a relationship tended to be beneficial as long as it was not too strong or too complex. Moreover, the ability to acquire funding tended to increase if the spin-offs develop a well-connected network of university and non-university contacts. The article concludes with some theoretical and practical implications and with suggestions for future research. (C) 2014 Elsevier Ltd. All rights reserved.

KW - Academic spin-off firms

KW - University

KW - Networks

KW - Funding for innovation

KW - Linear and curvelinear trends

KW - EMPIRICAL-ANALYSIS

KW - SECTORAL PATTERNS

KW - TECHNOLOGY FIRMS

KW - SOCIAL NETWORKS

KW - OUT COMPANIES

KW - SCIENCE PARKS

KW - START-UPS

KW - PERFORMANCE

KW - KNOWLEDGE

KW - ORGANIZATIONS

U2 - 10.1016/j.technovation.2014.10.008

DO - 10.1016/j.technovation.2014.10.008

M3 - Journal article

VL - 36-37

SP - 26

EP - 38

JO - Technovation

JF - Technovation

SN - 0166-4972

ER -