Mapping the entrepreneurial university literature: a text mining approach

M.F. Arroyabe*, M. Schumann, C.F.A. Arranz

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)955-963
Number of pages9
JournalStudies in Higher Education
Volume47
Issue number5
Early online date4 May 2022
DOIs
Publication statusPublished - 4 May 2022

Keywords

  • Entrepreneurial university
  • academic entrepreneurship
  • text mining
  • topic modelling
  • Latent Dirichlet Allocation algorithm
  • NON-INVENTING PEERS
  • ACADEMIC ENTREPRENEURSHIP
  • LOCAL CONTEXT
  • NANO-SCIENCE
  • COMMERCIALIZATION
  • EDUCATION
  • IMPACT
  • PERFORMANCE
  • IDENTITY
  • IDENTIFICATION

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