Entrepreneurial Ecosystems: Dynamics and Metrics

Bliemel, M; Agarwal, R; Bajada, C; Subhadrammal, D; Pugalia, S; Francis, J

Entrepreneurial Ecosystems: Dynamics and Metrics

Bliemel, M

Agarwal, R

Bajada, C

Subhadrammal, D Pugalia, S Francis, J

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Publication Type:: Conference Proceeding
Citation:: 2019
Issue Date:: 2019-02-11

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Field	Value	Language
dc.contributor.author	Bliemel, M https://orcid.org/0000-0002-5160-0888	en_US
dc.contributor.author	Agarwal, R https://orcid.org/0000-0002-8493-7313	en_US
dc.contributor.author	Bajada, C https://orcid.org/0000-0003-0590-1492	en_US
dc.contributor.author	Subhadrammal, D	en_US
dc.contributor.author	Pugalia, S	en_US
dc.contributor.author	Francis, J	en_US
dc.date	2019-02-11	en_US
dc.date.issued	2019-02-11	en_US
dc.identifier.citation	2019	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130523
dc.description.abstract	This paper presents our review of the literature and industry reports in relation to attempts to quantify and measure entrepreneurial ecosystems. Public interest and research on entrepreneurial ecosystems (EEs) has exploded in recent years, with many different conceptualisations of EEs. How they are opera-tionalised and quantified remains a challenge. However, having a reliable metric for the state or health of an EE remains of great interest to policy makers and researchers alike. In this study, we review the emerg-ing literature on EEs with a focus on attempts to quantify what they are and how they work. While there is an emerging concesus or synthesis of what EEs are, the literature and reports on their quantification remain scattered. Many quantitative studies are based on the practicality of using data with very limited availability. Others use macro-level or aggregated individual level data to make inferences about what occurs at the level of the firm, their immediate network, or how these interactions play out across the ecosystem across a very diverse set of actors. While startups are the primary outcome and primary stakeholder in EEs, the broader literature recognises that startups do not operate in isolation, and that their emergence depends on the actions and interaction with other stakeholders, such as larger corpora-tions, universities, government and other incumbents. A single-minded obsession about the number of startups and their fundings deprives policy makers and researchers the ability to study the whole system or context in which they exist and create jobs, wealth and innovations.	en_US
dc.relation.ispartof	University-Industry Engagement Conference	en_US
dc.title	Entrepreneurial Ecosystems: Dynamics and Metrics	en_US
dc.type	Conference Proceeding
utslib.location.activity	Sydney, NSW	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Economics Discipline
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.finish-date	2019-02-13	en_US
pubs.publication-status	Unpublished	en_US
pubs.start-date	2019-02-11	en_US

Abstract:

This paper presents our review of the literature and industry reports in relation to attempts to quantify and measure entrepreneurial ecosystems. Public interest and research on entrepreneurial ecosystems (EEs) has exploded in recent years, with many different conceptualisations of EEs. How they are opera-tionalised and quantified remains a challenge. However, having a reliable metric for the state or health of an EE remains of great interest to policy makers and researchers alike. In this study, we review the emerg-ing literature on EEs with a focus on attempts to quantify what they are and how they work. While there is an emerging concesus or synthesis of what EEs are, the literature and reports on their quantification remain scattered. Many quantitative studies are based on the practicality of using data with very limited availability. Others use macro-level or aggregated individual level data to make inferences about what occurs at the level of the firm, their immediate network, or how these interactions play out across the ecosystem across a very diverse set of actors. While startups are the primary outcome and primary stakeholder in EEs, the broader literature recognises that startups do not operate in isolation, and that their emergence depends on the actions and interaction with other stakeholders, such as larger corpora-tions, universities, government and other incumbents. A single-minded obsession about the number of startups and their fundings deprives policy makers and researchers the ability to study the whole system or context in which they exist and create jobs, wealth and innovations.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/130523