Mapping the entrepreneurial university literature

A Text Mining Approach

Datos Bibliográficos

ID4096768
AutoresMarta F Arroyabe (0000-0003-3223-0268, Essex Business School, University of Essex, Southend on Sea, UK, autor de correspondencia), Martin Schumann (0000-0001-8687-1656, Maastricht University), Carlos F A Arranz (0000-0002-6866-0684, Essex Business School, University of Essex, Southend on Sea, UK)
Año2022
Volumen47
Número5
Páginas955-963
Fecha de publicación2022-05-04
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaStudies in Higher Education (JOURNAL)
Identificadores de la revistaISSN: 0307-5079 • E-ISSN: 1470-174X
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03075079.2022.2055318
OpenAlexW4220775446
IdiomaEN
Citas recibidas13
Referencias citadas70

Since the introduction of the concept of entrepreneurial university in 1980s, the number of studies has dramatically increased, in particular since 2015. This had made the literature on the entrepreneurial university complex, fragmented and difficult to navigate. This paper provides a comprehensive review of all topics covered in the body of literature on the entrepreneurial university and identifies the most salient topics and papers within this literature, making use of text-mining techniques. Our paper employs topic modelling that reveals the underlying semantic structure of texts to identify the different underlying. Our study systematically analyses 1,110 papers over the period 1983-2020 using the Latent Dirichlet Allocation algorithm. Our analysis shows that the entrepreneurial university is fragmented around different topics that are very diverse. We find a total of 20 differentiated topics. Our study suggests that topics related to the overarching theme of academic entrepreneurship, in particular to commercialisation of research and the triple helix model are very popular within the entrepreneurial university literature. Finally, our analysis reveals that case-study type of research is losing momentum, giving path to nascent topics of research in the areas of entrepreneurial capability and university-industry alliances, which are becoming very popular within the entrepreneurial university literature

Business · Entrepreneurship · Higher education · Information retrieval · Latent Dirichlet allocation · Political science · Public relations · Salient · Sociology · Topic model · World Wide Web · Computational and Text Analysis Methods · Computer Science · Entrepreneurship Studies and Influences · scientometrics and bibliometrics research · Artificial Intelligence · Marketing