The paper examines factors influencing online purchase intention of Vietnamese. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), the study develops a theoretical model including four explanatory variables of online purchase intention: performance expectancy (PE), social influence (SI), effort expectancy (EE) and facilitating condi-tions (FC). The empirical results obtained in a sample of 204 valid interviewees reveal the statistically significant and concurrent impact of the mentioned determinants on the intention to purchase online. Among them, performance expectancy (PE) and social influence (SI) exert the most significant influence. The findings provide guidance for online firms to improve their conditions and develop marketing strategies in order to highlight efficiency, ease of use, and convenience; become a trend of social communities and then encourage the online purchase.

This study aims to find out the level of community desire within the university to use the Grip Work Journey (GWJ) application in office activities as an e-office application. The method used is quantitative research with data analysis techniques using Partial Least Square (PLS), and the data collection process is performed through a questionnaire. Respondents in this study were 200 people. The results of the study state that performance expectancy, effort expectancy, social influence, and security maintained positive influences on Behavioral Intention Grip Work Journey as a community office application in Jakarta State University.

Mobile payment is becoming an evitable trend in the globe and is well expanding rapidly into emerging countries. Many research models are developed and confirmed that behavior intention is an important fact which decides the level of using mobile payment among users. The existing research models have made empirical evidences confirming behavior intention de-pended on performance and effort expectancy. This research expands previous empirical evidence by involving perceived transaction speed as an important explanatory variable to both performance expectancy and effort expectancy and also captures how behavior intention is influenced by performance expectancy and effort expectancy among Cambodian users. A total of 200 questionnaires were collected, analyzed and summarized for this study. Result reveals that performance expectancy and effort expectancy affect positively and significantly on behavior intention. Perceived transaction speed has a positive and significant relationship with effort expectancy but Perceived transaction does not have any positive and significant relationship with performance expectancy. Result from this study also concludes the role of perceived transaction speed which is affecting intention to use mobile payment among users. However, there are some limitations to be addressed for the future researches; this research may include larger samples to find out the clear effect on behavior intention of the end-users.

The current study aims to assess the factors that could affect students’ use of ChatGPT. The study proposed a theoretical model that included six factors. Data was collected from 518 students using a questionnaire. The data were analyzed using Structural Equation Modeling to identify the relationships and test the hypothesis. The findings revealed that performance expectancy and social trust significantly influenced students’ intentions to use ChatGPT. Contrary to expectations, both social influence and effort expectancy had insignificant effects. By elucidating the core factors affecting the utilization of ChatGPT, trust had a significant impact on the intention to use ChatGPT. Furthermore, trust mediates the relationship between perceived security and intention to use ChatGPT, this study can provide valuable insights for policymakers. Moreover, this study contributes to the existing literature by setting the foundation for future research seeking a deeper understanding of the factors influencing the use of other AI technologies in teaching and learning in Electronic Public Facilities.

The purpose of the study was to examine the effectiveness of the Mobile Food Ordering Application (MFOA) in a collectivist country like Pakistan. Data was gathered using an online survey-based approach from 354 MFOA users and was analyzed using the structural equation modeling technique through Smart PLS 3.0. The results show that consumers’ online reviews strongly influence customer satisfaction and continued intention. Similarly, price value and online tracking of food services are strongly associated with customer satisfaction. Consumer habits and facilitation conditions are significantly associated with consumer continued intention. Habit is also found to partially mediate consumer satisfaction and continued intention. The study did not find any support for performance expectancy, effort expectancy, social influence, price value, hedonic motivation, or online review with continued intention. Similarly, performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation were not associated with consumer satisfaction. The present work is the first of its kind that has empirically examined the effectiveness of MFOAs in Pakistan. It lays down useful practical implications for practitioners, policymakers, and academia.

Several studies have made known that internet banking (IB) implementation is not only advanta-geous for banks, but also by perception and experience of IB users. Therefore, little is known about factors propelling user’s intention to adopt internet banking in Pakistan. Thus, the purpose of this research is to investigate the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. A quantitative approach based survey was conducted to col-lect the data from 398 internet banking users. For statistical analysis structural equation model (SEM) approach was used. The result of this study indicates that, UTAUT model provided a good theoretical foundation in technology adoption investigation. Findings confirmed that all four predic-tors (performance expectancy, effort expectancy, social influence and facilitating condition) were significant and had significant amount of variance in predicting user’s intention to adopt internet banking. Additionally, the IPMA test revealed that performance expectancy was the most important factor among all other variables to predict user’s intention towards adoption of internet banking. Lastly, managerial implications, limitations and future recommendations are discussed.

The rapid advancement of technology has had a significant impact on a wide range of industries, including the auditing industry. It is now obvious that employing Computer Assisted Auditing Techniques (CAATs) is a possible tactic for enhancing the effectiveness and efficiency of the audit process. This study evaluates how CAATs affect auditors' expectations for performance and effort in Jordan. Through a comprehensive survey of Jordanian auditors, this research provides insights into the factors that drive CAATs adoption. Utilizing structural equation modeling, the study confirms that both Effort Expectancy and Performance Expectancy positively influence CAATs adoption. These relationships are supported by robust path coefficients and low P-values, indicating statistical significance. The results of this study should clarify the possible advantages of including CAATs in the audit process and point out any difficulties auditors could encounter. Companies and professionals may choose wisely whether to embrace and use CAATs by comprehending Performance Expectancy and Effort Expectancy.

In this study, the impact of COVID-19 lockdown on Jordanian high school students’ reading habits and attitudes was examined. COVID-19 has indeed affected education systems all over the world; education institutions all over the world were compelled to implement innovative technological approaches so that education could still be delivered to students, fulfilling the academic expectations, while the Sustainable Learning and Education (SLE) ideals are consistently embraced. One of these approaches has been the use of mobile learning applications (MLA). These applications (MLAs) employ some prominent features of mobile apps, to allow students to collaborate and participate in purposeful online learning. Still, the success of any technology is dictated by the acceptance of the user, in this context, the acceptance of students. In other words, student acceptance of MLA will determine the success of MLA. Accordingly, the effect of COVID-19 lockdown on the information behavior of high school students was examined in this study, with MLA being used by these students. Data were gathered from 394 high school students in Jordan. These students were chosen randomly, and they were all mobile phone users. The data covered the 2022–2023 fall term and were analyzed using Structural Equation Modeling (SEM). Based on the analyses results: Self-Efficacy and Perceived Compatibility had significant impact on Perceived Performance Expectancy and Perceived Effort Expectancy; Perceived Convenience and Perceived Effort Expectancy had significant impact on Perceived Performance Expectancy; Perceived Enjoyment had significant impact on the Behavioral Intention to use MLA; COVID-19 had significant impact on the Behavioral Intention to use MLA; Perceived Compatibility showed no significant impact on Perceived Enjoyment; and Perceived Effort Expectancy, Perceived Performance Expectancy and Perceived Compatibility showed no significant impact on the Behavioral Intention to use MLA. The outcomes of this study demonstrate a practical indication in support of digital information behavior among high school students in this era.

The research was developed with main objective of verifying the effect of perceived transaction speed, performance expectancy and social influence on behavioral intention towards mobile payment services of Cambodian users. A research model was developed in which behavioral intention of mobile payment users was influenced directly by perceived transaction speed, performance expectancy and social influence. The effects of perceived transaction speed on performance expectancy and social influence were analyzed in the research. A successful 210 questionnaires were collected from real mobile payment users in Cambodia. It was identified that behavioral intention was significantly and positively influenced by perceived transaction speed, performance expectancy and social influence. However, the effects of perceived transaction speed on performance expectancy and social influence were not statistically significant. Based on these findings, some recommendations to government, commercial banks and private mobile payment providers in Cambodia were proposed.

Nowadays, transactions on e-commerce platforms (e-payment) utilizing a credit card are popular. Using credit cards for electronic purchases over the Internet is much different from offline purchases in traditional stores; only online transactions do not include either physical credit card or a signature. The e-payment has become a common mode of payment for online transactions made. It is an electronic billing system that gives clients the ability to make payments using the Internet. The objective of this paper was to analyze the associations among continuance intention e-payment, effort expectancy, facilitating conditions, performance expectancy, social influence, and actual usage of e-payment. The data was tested empirically on data collected from 667 Generation Z e-payment users in Malaysia. The results found that facilitating conditions, performance expectancy, and social influence impacted the actual usage of e-payment. Surprisingly, effort expectancy was not significantly associated with the actual e-payment usage. The findings of this study have several implications for managers and point the way towards future research. No prior empirical study has investigated the role of the Unified Theory of Acceptance and Use of Technology model on e-payment usage among Generation Z in Malaysia to the best of the authors’ knowledge. These results provide valuable contributions that can help decision-makers formulate or adjust their strategies associated with e-payments.