Nowadays, smartphones are the leading dominant mobile communication devices, attributed to their multifunctional facilities and the mounting benefits provided by online platforms. From a business perspective, smartphones can be a practical substitute for conducting many business transactions online. Companies have transferred their traditional business models to e-business models employing new technologies. This paper aims to examine the entrepreneurs’ intentions to use smartphone applications in conducting business transactions as well as explore entrepreneurial opportunities in the Jordanian market. The study will use the quantitative method to examine the factors affecting Jordanian entrepreneurs’ intention to use Smartphone applications. A questionnaire was used to collect the required data from the study population. The respondents were selected using a random sampling method to obtain the needed data from entrepreneurs in Amman, Jordan. A total of 500 questionnaires were distributed, and 440 valid questionnaires were returned and included in the analysis. The revealed results show that ease of use, perceived security, and trust significantly influence entrepreneurs’ intentions to use Smartphone applications, while responsiveness shows no significant influence. The current study provides valuable information on the factors that nurture entrepreneurs' intentions to adopt smartphone applications in Jordan. Finally, the smartphone possesses high potential support for entrepreneurs in the business world. Entrepreneurs are advised to integrate smartphones more into business transactions to increase work efficiency benchmarks and boost their businesses.

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.

This study investigated the relationship between the digital gap and the intention of Jordanians towards e-government usage. It focused on three components of the digital divide namely access, skills, and innovativeness. In addition, the research investigated how socio-demographic factors influence this connection. Data comprised 620 valid replies to questionnaires issued to 700 Jordanian citizens aged 22 and older who resided in urban and rural areas. Statistical Package for the Social Sciences (SPSS) version 26 and Analysis of Moment Structures (AMOS) version 24 were employed in data analyses and hypotheses testing. The results showed that all three aspects of the digital divide had a significant influence (access, skills, and innovativeness) on the intent of Jordanian citizens to utilize e-government, and the dimension of access imparted the strongest impact, followed by the dimension of skills and then the dimension of innovativeness. Additionally, it was discovered that gender, age, and education were the socio-demographic factors that could weaken the impact of the digital divide on the intentions of user to access e-government services. Contrariwise, the factor of income did not show a similar impact. Furthermore, perceived security significantly impacted the propensity towards e-government usage. Trust played a significant role in mediating the link between perceived security and the intention to engage in e-government.

In keeping abreast with the digitized and automated world today, governments of developing and developed nations must provide appropriate e-government services to assure confidence and effective and efficient usage among their citizens. The quality, security, and privacy of current e-government implementation have been impairing the trust and participation of users, in Jordan especially. Hence, this study examined the impacts of quality, security and privacy of e-government services on the intention to use e-government services among Jordanian citizens. Questionnaires were used to gather data, and questionnaire items covered the constructs of quality factors (information quality, system quality, and service quality), perceived security, and perceived privacy as independent variables, and the constructs of trust and intention to use as dependent variables. The study samples comprised academics in Jordanian public universities. The universities were selected using stratified sampling method, while the respondents were chosen using simple random sampling method - 212 respondents were selected. SPSS Version 18 and PLS Version 3.3.6 were used in data analyses and hypotheses testing. Results affirmed a positive and significant link between information quality, system quality, service quality, perceived security, perceived privacy and trust in e-government services, and a positive and significant link between trust in e-government services on intention to use. In e-government services implementation, Jordanian government should take into account the quality factors (information quality, system quality, and service quality), perceived privacy, and perceived security, to increase trust of the citizens and consequently their intention to use the e-government services.

Advancement of banking and financial investment has led to the rapid expansion of services automation. The consistent increase of Artificial Intelligence (AI) usage in investment management implies the impending popularity of technology-based service. This study examined influencer endorsement and perceived security benefits as moderators to the relationship between perceived risk and financial AI services. Questionnaires were disseminated to 300 respondents who were customers with experience of using financial AI services in Jordan, and they were chosen through purposive sampling method. Structural equation modeling run using Smart-partial least squares (PLS 3.3.6) was employed in analyzing the data obtained from 220 completed questionnaires. The results show that perceived risk negatively affects financial AI services, while influencer endorsement and perceived security moderate the relationship between perceived risk and financial AI services. This study provides insight to companies on how to reduce perceived risk to encourage people to use business intelligence applications, as in the use of financial technology services.

This study investigates the application of the technology acceptance model (TAM) on the digital payment using social media platforms with the extended inclusion of perceived ease of use, perceived security, perceived usefulness, and trust in enhancing consumer behavioral intention. This work has surveyed 250 consumer films on the digital social media platform. Data collection used a questionnaire designed with a five-point Likert scale. The questionnaire was created using a Google Form, and questionnaire distribution was performed by sending the link through social media to the respondents. As many as 300 questionnaires were distributed, and 258 questionnaires were considered valid for further analysis. Data analysis used smartPLS software version 3.0. The result revealed that nine hypotheses were empirically supported while the others two were not supported. Perceived security directly affects trust and consumer behavioral intention. Perceived ease of use directly affects perceived usefulness and consumer behavioral intention. Perceived security indirectly influences consumer behavioral intention through trust and perceived usefulness. Furthermore, perceived usefulness directly affects trust and consumer behavioral intention. Besides, trust directly affects consumer behavioral intentions. Perceived ease of use indirectly affects behavioral intention through perceived usefulness. Moreover, perceived security affects consumer behavioral intentions indirectly through trust. Perceived ease of use influences perceived usefulness. However, perceived usefulness did not indirectly influence behavioral intention through trust. Finally, perceived ease of use did not affect consumer behavioral intention through perceived usefulness and trust. These findings extended the application of the technology acceptance model in using digital payment platforms in Indonesia. These findings reinforced current research on user adoption of new technology. Furthermore, this result provides a managerial implication for digital payment platforms providers to improve consumer behavioral intentions.

The aim of this research is to determine and to assess the effective factors on customer loyalty, concerning the internet-purchase of products and services of Tehran tourism agencies. For this purpose, the standardized questionnaire was distributed among on-line internet customers of Tehran tourism agencies and finally 384 questionnaires were applied in analyzing the research hypotheses. The data obtained from customers were analyzed using confirmatory factor analysis technique and the structural equations modeling (SEM). The findings of the research with regard to the proposed model and its nine hypotheses from the highest to lowest route coefficients and hypothesis confirmation are respectively: the effect of customer loyalty with the route coefficient of 0.559; the effect of search capability with the route coefficient of 0.481; the effect of satisfaction on customer trust with the route coefficient of 0.388; the effect of transaction cost on customer satisfaction with the route coefficient of 0.321; the effect of search capability on customer trust with the route coefficient of 0.292; the effect of trust on customer loyalty with the route coefficient of 0.184; the effect of the perceived security on customer satisfaction with the route coefficient of 0.159. The above seven hypotheses have been confirmed and the effect perceived security effect on customer trust and the effect of transaction cost on customer trust with the route coefficient of 0.018 were finally rejected.