This study proposed and validated an extension of the unified model of electronic government adoption (UMEGA). The data analysis was conducted with a structural equation modeling technique using Smart PLS 3.0. The results have demonstrated contrary to expectations that performance expectancy, effort expectancy, and social influence do not predict the attitude toward the use of e-government services. Facilitating conditions, however, were found to significantly determine both the behavioral intention to use and effort expectancy of e-government services. Also, perceived service quality and trust in government were found to positively predict, respectively, the intention to use and recommend the adoption of e-government services. The implications of these and other result findings of this study are thoroughly interrogated.
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 study explored the factors influencing the continued intention to use mobile money transfer services among university students in Ghana. The UTAUT was used as the research theoretical framework while the analysis was conducted with SPSS and SmartPLS. The results demonstrate that the continued intention to use mobile money transfer services is influenced by performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived service quality. Also, perceived service quality was found to be a significant predictor of the actual use of mobile money transfer services. The study further revealed that the continued intention to use was a positive determinant of the actual usage of mobile money transfer services. The implications of these and other findings of the study are discussed.
This research paper examined the continued intention of college students to use DiDi mobile car-sharing services in China. The unified theory of acceptance and use of technology (UTAUT) was used as the theoretical framework while the data analysis was completed with SPSS. The results have demonstrated that performance expectancy, reliability, efficiency, and security and privacy were significant predictors of the continued intention to use mobile car-sharing services. Contrary to our expectations, effort expectancy was not a significant determinant of the continued intention to use mobile car-sharing services. In addition to these direct effects, the moderating impact of trust in the internet was also examined. The moderating analysis showed that trust in the internet showed no significant moderating impact on the relationship between performance expectancy, effort expectancy, reliability, efficiency, and security and privacy and the continued intention to use mobile carsharing services. The implications of these findings are discussed.
This study explored the factors influencing citizens' adoption of e-government services through the open government/data concept by proposing and validating an e-government adoption recommendation model (EGARM). The data was analyzed with Smart PLS-SEM. The results show that the intention to use e-government website is positively related to the intention of citizens to recommend the adoption of e-government services. Trust in government and the internet were significant predictors of the intention to use e-government services. While information quality was significant in determining the intention to use, it was however not significant in predicting the citizen's trust in government. Also, information accessibility and accountability were both significant predictors of trust in government but not the intention to use. Additionally, collaboration was found to predict the intention to use but not trust in government. Finally, empowerment was a significant determinant of the intention to use and trust in government.
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