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University–Industry Interface: Open and Dynamic Business Models to Reduce Spin-Offs’ Risk of Failure

Global Opportunities for Entrepreneurial Growth: Coopetition and Knowledge Dynamics within and across Firms

ISBN: 978-1-78714-502-3, eISBN: 978-1-78714-501-6

Publication date: 14 December 2017

Abstract

Following the triple helix (TH) model and the way knowledge is transferred into the industry domain, this chapter aims to define features interface that should be implemented in order to facilitate the University–Industry (UI) relationship and thus encourage the spin-off creation.

In order to support this relationship, a new business model configuration of an entrepreneurial ecosystem is proposed, aiming at creating a sustainable environment, where business entities can grow. The field of the Governance of Entrepreneurial Ecosystems is also investigated in order to define a framework for launching, developing, and sustaining a company over time.

This chapter presents a case study developed within the University of Salento (Italy). It capitalizes results from three different research analyses, based on questionnaires and interviews with actors of the spin-off network (professors and researchers, graduating students, admin-tech staff of the Technology Transfer Office, spin-offs’ CEOs/Associates, and R&D managers of external companies) and on results coming from scientific publications and regional/national reports in the innovation context.

A research methodology based on semantic network analysis and sentiment analysis has been applied in order to identify which features an interface should implement in order to facilitate the UI relationship and encourage the spin-off creation.

To support the start-up overcoming the “death valley,” the creation of a link between the strategy used to transfer value to the market and the phase of innovation is proposed inside the business model configuration. Some aspects of a governance model of an entrepreneurial ecosystem were also presented in order to support the business evolution of a single business entity and assuring sustainability over time.

Keywords

Citation

Corallo, A., Errico, F., Fortunato, L., Latino, M.E. and Menegoli, M. (2017), "University–Industry Interface: Open and Dynamic Business Models to Reduce Spin-Offs’ Risk of Failure", Sindakis, S. and Theodorou, P. (Ed.) Global Opportunities for Entrepreneurial Growth: Coopetition and Knowledge Dynamics within and across Firms (Advanced Strategies in Entrepreneurship, Education and Ecology), Emerald Publishing Limited, Leeds, pp. 295-335. https://doi.org/10.1108/978-1-78714-501-620171019

Publisher

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Emerald Publishing Limited

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