Additionality of incubator support on networks of university spin-out firms

Nola Hewitt-Dundas; Colm Burns; Gary Chapman

Additionality of incubator support on networks of university spin-out firms

Nola Hewitt-Dundas, Colm Burns, Gary Chapman

Queen's Business School (QBS)

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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Abstract

The formation rate of university spin-out firms has increased markedly over the past decade. While this is seen as an important channel for the commercialisation of academic research, concerns have centred around high failure rates and no-to-low growth among those which survive compared to other new technology based firms. Universities have responded to this by investing in incubators to assist spin-outs to overcome their liability of newness. Yet how effective are incubators in supporting these firms? Here we examine this in terms of the structural networks that spin-out firms form, the role of the incubator in this and the effect of this on the spin-out process.

Original language	English
Title of host publication	Joining complexity science and social simulation for innovation policy: agent-based modelling using the SKIN platform
Editors	Petra Ahrweiler, Nigel Gilbert, Andreas Pyka
Publisher	Cambridge Scholars
Chapter	10
Pages	289-325
ISBN (Print)	9781443884600
Publication status	Published - 19 May 2016

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Additionality of incubator support on networks of university spin-out firms
Copyright 2016 Cambridge Scholars. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 258 KBLicence: Unspecified

Examining the behavioural additionality impacts of public support
Chapman, G. (Author), Hewitt-Dundas, N. (Supervisor), Dec 2019
Student thesis: Doctoral Thesis › Doctor of Philosophy

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Additionality of incubator support on networks of university spin-out firms. / Hewitt-Dundas, Nola; Burns, Colm; Chapman, Gary.
Joining complexity science and social simulation for innovation policy: agent-based modelling using the SKIN platform. ed. / Petra Ahrweiler; Nigel Gilbert; Andreas Pyka. Cambridge Scholars, 2016. p. 289-325.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

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BT - Joining complexity science and social simulation for innovation policy: agent-based modelling using the SKIN platform

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Additionality of incubator support on networks of university spin-out firms

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Student theses

Examining the behavioural additionality impacts of public support

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