This study explored the impact of government capacity and e-government performance on the adoption of e-government services by integrating it into the Technology Acceptance Model (TAM). The results showed that both government capacity and government performance were significant determinants of the perceived usefulness of e-government services. Also, government capacity was revealed to positively predict e-government performance. In addition, perceived usefulness of e-government services was found to be a significant predictor of the intention to recommend the adoption of e-government services. The implications of these findings on the implementation of e-government are discussed.

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.

This research article examines the intention of university students to adopt and use e-government services in China. The unified theory of acceptance and use of technology (UTAUT) was used as the theoretical framework for this study. A total of 369 valid responses were collected from Chinese citizens (college students) and used for the data analysis. The data analysis was conducted with SPSS. The results of this study have demonstrated that facilitating conditions, perceived service quality, trust in the government, and social influence were significant predictors of the intention of university students to adopt and use e-government services. Interestingly, performance expectancy, effort expectancy, and trust in the Internet were not significant determinants of the intention to use e-government services. Social influence was significant in determining the trust in the Internet but was not significant in predicting the trust in government. The implications of these findings for the implementation of e-government are discussed.

This study uses a modified UTAUT model to examine behavioral factors influencing mobile banking services’ (MBS) adoption in China. Despite the abundance of smart mobile phones, the uptake of mobile banking among the population remains low. To address this issue, this study integrates four variables—perceived financial cost, awareness, technology infrastructure support, and government regulations—into the UTAUT framework to explore their impact on driving the adoption of MBS. Based on convenient sampling techniques, it uses 567 valid responses collected through a self-administered questionnaire and applies multiple regression analysis methods for data analysis using SPSS-26 software. Results indicate that performance expectancy, effort expectancy, perceived financial cost, and awareness are significant drivers of behavioral intention to use MBS in China. Technological infrastructure support positively influences performance expectancy, and individuals’ intent to use and adopt MBS in China. Government support significantly drives the individual’s behavioral intention to use and adopt MBS. Furthermore, behavioral intention to use MBS significantly predicts its adoption in China. The practical and academic ramifications of MBS on the growth and development of sustainable mobile banking systems are presented.

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 sought to examine the differential effects of political trust on the adoption of e-government services between foreign and Chinese students. Political trust was integrated into the Unified Theory of Acceptance and Use of Technology (UTAUT) which was then used as the research model for this study. The comparative analysis demonstrated that political trust, performance expectancy, and social influence were all significant predictors of the intention to use e-government services by foreign and Chinese Students. Also, political trust was a positive determinant of social influence and performance expectancy for both foreign and Chinese students. The implications of these findings on the implementation of e-government to provide public services are discussed.