The other side of the same coin – How communal beliefs about entrepreneurship influence attitudes toward entrepreneurship

Gender Differences in the Intention to Start a Business

Abstract. The present study updates and extends the meta-analysis by Haus et al. (2013) who applied the theory of planned behavior (TPB) to analyze gender differences in the motivation to start a business. We extend this meta-analysis by investigating the moderating role of the societal context in which the motivation to start a business emerges and proceeds. The results, based on 119 studies analyzing 129 samples with 266,958 individuals from 36 countries, show smaller gender differences than the original study and reveal little differences across cultural regions in the effects of the tested model. A meta-regression analyzing the role of specific cultural dimensions and economic factors on gender-related correlations reveals significant effects only of gender egalitarianism and in the opposite direction as expected. In summary, the study contributes to the discussion on gender differences, the importance of study replications and updates of meta-analyses, and the generalizability of theories across cultural contexts.

Artificial intelligence learning and entrepreneurial performance among university students: evidence from malaysian higher educational institutions

Artificial intelligence learning at higher educational institutions is one of the emerging concepts having vital importance to promote entrepreneurship activities among the university students. However, Malaysian Universities are lacking with the artificial intelligence learning activities. The objective of the study is to examine the role of artificial intelligence learning to promote entrepreneurship performance with the help of entrepreneurial orientation and strategic entrepreneurship. Moreover, the moderating role of government funding and attitude towards entrepreneurship is also examined. To achieve the objective of this study, a survey was carried out among the Malaysian universities. 500 questionnaires were distributed among the universities and data were collected from the teaching staff. After collection of data, it was analysed with the help of Partial Least Square (PLS)-Structural Equation Modeling (SEM). It is concluded that artificial intelligence learning is most significant to promote entrepreneurial performance among university students. Entrepreneurial orientation and strategic entrepreneurship play a key role to transfer the positive effect of artificial intelligence learning on entrepreneurial performance. Additionally, government funding and attitude towards entrepreneurship also has significant role.