Are we speaking the same language? Using topic models to shed light on research utilization issues between entrepreneurial ecosystem scholars and policy-makers

Research output: Contribution to conferencePaper

Abstract

There is near universal agreement in the literature on entrepreneurial ecosystems that ecosystems are heterogeneous in nature (Brown and Mason, 2017), and that failure to recognise this within policy making circles may lead to suboptimal policy decision-making (Stam and Bosma, 2015). There are ongoing concerns, however, that policy makers may not be getting the message, and that policy is running ahead of research in the field of regional development with regard to the role of entrepreneurship and ecosystems thinking (Wurth, Stam and Spigel, 2021). This study employs topic modelling to establish the dominant themes in the academic literature on a series of case study ecosystems, and the themes which characterise the policy discourse within these ecosystems. Through a comparison between the respective academic and policy-based discourses, we establish the extent to which the academic themes are reflected in the policy discourse on a place-by-place basis.
Original languageEnglish
Publication statusPublished - 13 May 2024
EventEntrepreneurial Ecosystem Research - University of Stuttgart, Stuttgart, Germany
Duration: 13 May 202415 May 2024

Conference

ConferenceEntrepreneurial Ecosystem Research
Abbreviated titleEcoSys
Country/TerritoryGermany
CityStuttgart
Period13/05/2415/05/24

Keywords

  • natural language processing (NLP)
  • topic models
  • entrepreneurial ecosystems

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