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Determinants of knowledge-based entrepreneurship: an exploratory approach
Authors:Ricardo Moutinho  Manuel Au-Yong-Oliveira  Arnaldo Coelho  José Pires Manso
Institution:1.Department of Business and Economics,University of Beira Interior,Covilh?,Portugal;2.Department of Economics, Management and Industrial Engineering,University of Aveiro,Aveiro,Portugal;3.Faculty of Economics,University of Coimbra,Coimbra,Portugal;4.Research Unit NECE,University of Beira Interior,Covilh?,Portugal;5.Department of Business and Economics,University of Beira Interior,Covilh?,Portugal
Abstract:We intend to further the research related to the factors that determine successful entrepreneurial endeavours by academic researchers, and thus put forth an exploratory model of Knowledge-Based Entrepreneurship (KBE). Given the lack of extant adequate indicators, a new scale was developed based on the most frequently cited constructs in the literature. A sample of 1,401 researchers from Portuguese universities was administered a questionnaire and the data collected permitted a validation with regards to the psychometric properties of the questionnaire, to see its applicability to the study. The findings suggest that the absence of a patenting history or start-up portfolio act as significant barriers to academic entrepreneurship. However, when the institutional strategy is to increase patenting and spin-off activities, the university should begin investing in creating a networking environment capable of reinforcing the researchers’ Social Capital. Observing the example of successful entrepreneurs motivates other researchers to consider the possibility of developing their own ventures. The Structural Equations Modelling (SEM) approach allowed for us to identify and measure the non-linear relationships that shape the core of KBE and influence the attainment of measurable outcomes aimed at encouraging entrepreneurship. A relatively high share of the variance of the dependent variables is explained by the model, ensuring their representativeness and contributing to the state-of-art of the knowledge in this research field.
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