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A Framework for Longitudinal Analysis of University Spin-Offs

A Framework for Longitudinal Analysis of University Spin-Offs

Fernando Almeida, Eugénio Cunha
Copyright: © 2020 |Pages: 24
ISBN13: 9781522554127|ISBN10: 1522554122|EISBN13: 9781522554134
DOI: 10.4018/978-1-5225-5412-7.ch001
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MLA

Almeida, Fernando, and Eugénio Cunha. "A Framework for Longitudinal Analysis of University Spin-Offs." Leveraging Digital Innovation for Governance, Public Administration, and Citizen Services: Emerging Research and Opportunities, edited by Nidhi Vij Mali, IGI Global, 2020, pp. 1-24. https://doi.org/10.4018/978-1-5225-5412-7.ch001

APA

Almeida, F. & Cunha, E. (2020). A Framework for Longitudinal Analysis of University Spin-Offs. In N. Vij Mali (Ed.), Leveraging Digital Innovation for Governance, Public Administration, and Citizen Services: Emerging Research and Opportunities (pp. 1-24). IGI Global. https://doi.org/10.4018/978-1-5225-5412-7.ch001

Chicago

Almeida, Fernando, and Eugénio Cunha. "A Framework for Longitudinal Analysis of University Spin-Offs." In Leveraging Digital Innovation for Governance, Public Administration, and Citizen Services: Emerging Research and Opportunities, edited by Nidhi Vij Mali, 1-24. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-5412-7.ch001

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Abstract

The creation of university spin-offs plays a fundamental role in the technology transfer process between universities and the business field. Universities have developed for themselves internal processes within their technology transfer offices in order to collect this information. However, this data is only available locally and often outdated. Furthermore, the number of frameworks that allow the study and simultaneously access to this data in an integrated way is still small on a global scale, and in Portugal, there isn't a repository which contains this information. This study proposes the establishment of a framework for longitudinal analysis that could identify and characterize the evolution and performance of Portuguese university spin-offs. The repository is built exclusively in open source technologies and offers the potential to characterize and analyze the evolution and performance of university spin-offs in different perspectives, such as individual factors; organizational factors; institutional factors; and scientific, educational, and commercial outputs.

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