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An academic perspective on the entrepreneurship policy agenda: themes, geographies and evolution

Author

Listed:
  • Arenal, Alberto
  • Feijoo, Claudio
  • Moreno, Ana
  • Armuña, Cristina
  • Ramos, Sergio

Abstract

Text mining is being increasingly used for the automatic analysis of different corpus of documents, either standalone or complementarily to other bibliometric techniques. The case of academic research into entrepreneurship policy is particularly interesting due to the increasing relevance of the topic and since the knowledge about the evolution of themes in this field is still rather limited. Consequently, this paper analyses the key topics, trends and shifts that have shaped the entrepreneurship policy research agenda to date using text mining techniques, cluster analysis and complementary bibliographic data to examine the evolution of a corpus of 1,048 academic papers focused on entrepreneurial-related policies and published during the period 1990-2016 in ten of the most relevant entrepreneurship journals. The results of the analysis show that inclusion, employment and regulation-related papers have largely dominated the research in the field, evolving from an initial classical approach about the relationship between entrepreneurship and employment to a wider and multidisciplinary perspective, including the relevance of management, geographies, and narrower topics such as agglomeration economics or internationalization instead of previous generic sectorial approaches. Overall, the text mining analysis reveals how entrepreneurship policy research has gained increasing attention and has become both more open, with a growing cooperation among researchers from different affiliations; and more sophisticated, with concepts and themes that moved forward the research agenda closer to the priorites of policies implementation

Suggested Citation

  • Arenal, Alberto & Feijoo, Claudio & Moreno, Ana & Armuña, Cristina & Ramos, Sergio, 2019. "An academic perspective on the entrepreneurship policy agenda: themes, geographies and evolution," MPRA Paper 96014, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:96014
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    More about this item

    Keywords

    Text mining; Cluster analysis; Entrepreneurship policy; Entrepreneurship Research;
    All these keywords.

    JEL classification:

    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship

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