The development and promotion of entrepreneurial behavior is an important ingredient in developing entrepreneurship ventures. This study examined the factors influencing college students’ intention to engage in entrepreneurial activities. Applying the Theory of Planned Behavior as the theoretical foundation the structural equation modeling technique through Smart PLS 3.0 was used to analyze the hypothesized relationship in this study. The results indicate that all the proposed research hypotheses were statistically supported. Specifically, entrepreneurial attitude, subjective norm, and perceived behavioral control were all significant in determining college students’ entrepreneurial intentions. Furthermore, it was demonstrated that entrepreneurial self-efficacy, entrepreneurial education, and student internship motivation (SIM) were also positive and significant predictors of college students’ entrepreneurial intention. The implications of these findings on the development of entrepreneurial programs and activities that will have a positive influence and encourage students to engage in entrepreneurial activities are discussed.

This research paper investigated the adoption behavior of college students toward the e-learning system amidst the current COVID-19. The model was developed and validated based on the Technology Acceptance Model (TAM) and the partial least squares-structural equation modeling (PLS-SEM) was used to analyze the data. The data was generated from 316 Chinese college students based on the convenient sampling technique. The research outcomes indicate that the perceived ease of use is a significant predictor of the intention to use and perceived usefulness of an e-learning system. To our surprise, perceived usefulness does not determine the intention to use an e-learning system. Computer self-efficacy and technical support respectively were significant determinants of the perceived usefulness and the perceived ease of use of an e-learning system. Interestingly, the study showed that internet experience does not influence students’ sensitivity to the usefulness and ease of use associated with an e-learning system. The theoretical and managerial implications of these results findings are thoroughly interrogated.

This study explored the behavioral adoption of electronic payment systems (EPS) among college students in China based on the UTAUT framework as the theoretical foundation of the study. The analysis was conducted using the partial least squares structural equation modeling (PLS-SEM) technique. The results have demonstrated that performance expectancy, effort expectancy, and perceived security were all significant in predicting the intention to use electronic payment systems. Perceived trust however was not a significant determinant of the intention to use. The individual user past experience was found to predict significantly the performance expectancy, effort expectancy, perceived security, and perceived trust of EPS. The managerial and theoretical implications of these findings on the design and diffusion of electronic payment systems are discussed.

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