Analysis of sport entrepreneurial intentions through linear models vs QCA

Authors

  • María Huertas González-Serrano Universidad de Valencia Author
  • Ferran Calabuig Moreno Universidad de Valencia Author
  • Josep Crespo Hervás Universidad de Valencia Author

Keywords:

entrepreneurship, sport, students, university, Theory of Planned Behaviour.

Abstract

The high rates of youth unemployment in Spain, have generated that entrepreneurship should be considered as a good career path for young graduates. Particularly, the sports sector is presented as a viable sector for young graduates to be an entrepreneur, although few studies about entrepreneurship have been carried out with this type of students. Therefore, it is the objective of this study to know which are the variables that predict entrepreneurial intention of the sport science students through the Theory of Planned Behavior and some socio-demographic variables (gender and work experience). For this purpose, a sample of 121 students from the last year of the degree in Sport Sciences of the University of Valence has been analyzed through the administration of a structured questionnaire. Two different analysis methodologies were used: linear regression model and a fuzzy-set qualitative comparative analysis (fsQCA). The results of the linear regression were able to explain 68% of the entrepreneurial intentions, highlighting as main variables the professional attraction (β=.70), the control of perceived behavior (β=.15) and work experience (β =.13). Taking into account the results of fsQCA, none of the conditions are sufficient for the presence of entrepreneurial intentions. Based on the sufficiency analysis, five conditions explain 76% of the entrepreneurial intentions. The three most important conditions were high level of PA, EC, male gender and work experience; high levels of PBC, male gender, work experience and low levels of EC; high levels of PA, SN, work experience and low levels of EC (explaining 50%, 24% and 27% respectively) of entrepreneurial intentions. In general QCA is more explanatory than LM. Finally, practical implications for sport universities are presented.

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Published

2018-01-30

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How to Cite

Analysis of sport entrepreneurial intentions through linear models vs QCA. (2018). Materiales Para La Historia Del Deporte, 16, 6-15. https://polired.upm.es/index.php/materiales_historia_deporte/article/view/4078

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