A Taxonomy for Technology Venture Ecosystems

47 Pages Posted: 9 Apr 2021 Last revised: 17 Sep 2021

See all articles by Mari Sako

Mari Sako

University of Oxford - Said Business School

Matthias Qian

University of Oxford

Date Written: April 8, 2021

Abstract

We develop a taxonomy – Oxford Venture Ecosystem Taxonomy (OVET) -- to classify technology startup ventures along nine dimensions: (1) the area of work, (2) purpose of technology use, (3) technology stack, (4) platform business model, (5) type of clients, (6) value capture strategy, (7) founder and funder characteristics, (8) geographical footprint, and (9) funding cycle. This paper provides a theory and method for developing taxonomies, emphasizing the importance of clarifying the purpose for which a taxonomy is used and the determination of the appropriate level of abstraction. This approach is then applied to develop the OVET taxonomy in the context of specific sectors with AI use cases. We illustrate this application in four sectors, namely fintech, healthtech, lawtech, and proptech. In the last section, we discuss how such a taxonomy, enabling classifications and analytics, could provide valuable insights and improve the quality of decision-making by venture founders, investors, policy makers and other stakeholders in the venture ecosystem.

Keywords: entrepreneurship, taxonomy, venture ecosystem, fintech, lawtech, healthtech, proptech

JEL Classification: J24, L14, L16, L26, L84, L86, M13, O33

Suggested Citation

Sako, Mari and Qian, Matthias, A Taxonomy for Technology Venture Ecosystems (April 8, 2021). Available at SSRN: https://ssrn.com/abstract=3822606 or http://dx.doi.org/10.2139/ssrn.3822606

Mari Sako (Contact Author)

University of Oxford - Said Business School ( email )

Park End Street
Oxford, OX1 1HP
Great Britain

Matthias Qian

University of Oxford ( email )

Park End Street
Oxford, OX1 1HP
Great Britain
+44 7958 921145 (Phone)
OX1 1HP (Fax)

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