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Characteristics and effectiveness of university spin‐off support programmes

Characteristics and effectiveness of university spin‐off support programmes PurposeThe purpose of this paper is to identify different program models supporting the creation of spin‐offs at universities, analyzes the characteristics that differentiate them, and identifies the factors that determine their effectiveness.Design/methodology/approachThe analysis was performed using data collected through a survey targeting the heads of spin‐off support programs at universities in the UK and Spain. The authors then applied factorial and cluster analysis techniques and a logistic regression analysis to the data to confirm the results.FindingsThe analysis identified three types of spin‐off support programs in these universities. Among these, the authors found one that appears to be the most effective model. The authors also found a certain “country effect” on the characteristics of the most effective model. Finally, the authors noted the importance the literature places on university R&D activity and the existence of a favorable environment for the performance of spin‐off programs.Research limitations/implicationsThis research is limited by the use of number of spin‐offs and survival rate as performance indicators for support programs. Future research should consider the effective contributions to economic growth and the extent to which such effects are related to university‐level policies.Practical implicationsThe typology of the spin‐off support programs identified here provides insight for recommendations to improve less‐effective models.Originality/valueThis study contributes to the understanding of the role of university policy measures in spin‐off support program effectiveness, and of how the environment influences these policies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Academia Revista Latinoamericana de Administración Emerald Publishing

Characteristics and effectiveness of university spin‐off support programmes

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1012-8255
DOI
10.1108/ARLA-09-2013-0139
Publisher site
See Article on Publisher Site

Abstract

PurposeThe purpose of this paper is to identify different program models supporting the creation of spin‐offs at universities, analyzes the characteristics that differentiate them, and identifies the factors that determine their effectiveness.Design/methodology/approachThe analysis was performed using data collected through a survey targeting the heads of spin‐off support programs at universities in the UK and Spain. The authors then applied factorial and cluster analysis techniques and a logistic regression analysis to the data to confirm the results.FindingsThe analysis identified three types of spin‐off support programs in these universities. Among these, the authors found one that appears to be the most effective model. The authors also found a certain “country effect” on the characteristics of the most effective model. Finally, the authors noted the importance the literature places on university R&D activity and the existence of a favorable environment for the performance of spin‐off programs.Research limitations/implicationsThis research is limited by the use of number of spin‐offs and survival rate as performance indicators for support programs. Future research should consider the effective contributions to economic growth and the extent to which such effects are related to university‐level policies.Practical implicationsThe typology of the spin‐off support programs identified here provides insight for recommendations to improve less‐effective models.Originality/valueThis study contributes to the understanding of the role of university policy measures in spin‐off support program effectiveness, and of how the environment influences these policies.

Journal

Academia Revista Latinoamericana de AdministraciónEmerald Publishing

Published: Mar 2, 2015

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