The primary aim of this research is to determine attitudes held towards autonomous vehicles (AVs) and understand their impact on intentions to use the service among ride-hailing users in the UK. Based on the Theory of Planned Behaviour model, an online, self-administered survey was used to collect data from 151 consumers (18-24-year-olds). The relationship between variables was measured using a Spearman’s Rank test in SPSS. The results of this study found all categories (overall attitude, perceived ease-of-use, perceived value, perceived safety, perceived risk, technology, environmentalism, subjective norms, perceived behavioural control) received a positive mean score. From these results, it can be concluded that this sample holds positive attitudes towards AVs and intend to use the service when they are made available. A positive score for perceived risk, however, indicated that this group thought there may be safety concerns when using this technology. The main contribution of this study is providing data to a new, and rapidly evolving field of research and thus the findings of the present study contribute to ongoing research related to consumers attitudes of AVs. Managerially, companies that focus on developing and implementing AV taxis need to focus more on the safety benefits of such vehicles.

Substantially, the theory of e-government public value (PV-EGOV) has been treated as a hot topic to be explored insightfully. This research comes to be considered as the launching point to empirically evaluate the creation of PV-EGOV in Jordan. The main aim of this research is to investigate the factors affecting the PV-EGOV in the context of Jordan. Information System Success Model (IS success model) was selected to determine the factors affecting the e-government public value in Jordan through the quality factors (system, information, and service) and their role in citizens' intention in use and satisfaction of the e-government. The structural Equation Model (SEM) approach was harnessed to obtain the results. The results indicated that the most critical determinant factor that affected the PV-EGOV was service quality. The current article has theoretical and practical implications for public institutions in Jordan. The future work trends are established in their specific section of this article.

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

This paper seeks to investigate the impact of Electronic Human Resource Management (e-HRM) practices on attaining Sustainable Competitive Advantage (SCA) in the context of the Jordanian Industrial Sector (JIS) and identify the mediating role of e-HRM Perceived Usefulness (PU) and e-HRM Perceived Ease of Use (PEOU). Furthermore, it investigates the moderating role of User Satisfaction and e-HRM Continuance Usage Intention. To achieve the paper objectives, a Mediated-Moderation Model was designed. The researchers distributed (750) questionnaires, (615) questionnaires were returned and validated for analysis in HRM and development divisions and based on a Census method with the response rate was about (82%). The ‘Structural Equation Modeling’ (SEM) methodology was used, and for analysis, SPSS and Amos were applied. The results indicated that e-HRM practices had significant influence on SCA. The paper also demonstrated that there was a significant mediate effect of TAM constructs on the relationship between e-HRM practices and SCA. Finally, the findings indicated that the user satisfaction and e-HRM continuance usage intention did not moderate the relationship between e-HRM-PEOU and PU and SCA path.

This study aimed to test and evaluate the impact of Digital Entrepreneurship and its impact on digital supply chains in Jordanian hotels, and the mediating role of digital supply chains in this relationship. The descriptive analytical method was used, and the study population consisted of (835) male and female employees, and a random sample was used with a simple random sample of (342) participants. To achieve the objectives of the study, a developed questionnaire was used to collect data from the sample members. The study adopted the Statistical Package for Social Sciences (SPSS.V.22) and Structural Equations Modeling (SEM) using the AMOS program for path analysis and to perform statistical analysis using: Descriptive and inferential statistics measures, including Multiple linear regression, Pearson correlation coefficient, skew coefficient, multiple linear correlation, variance inflation coefficient and permissible variance. The study reached results, the most important of which were: The most important results of the study were: the presence of an important impact of Digital Entrepreneurship in digital supply chains and the presence of a significant impact of Digital Entrepreneurship through business intelligence applications as an intermediate variable in digital supply chains. The study recommends the need to enhance Digital Entrepreneurship in Jordanian hotels by focusing on the holistic view of these hotels and their environment, whether the internal environment that focuses on strengths and weaknesses in the hotel’s capabilities or their external environment that brings opportunities and challenges.

The purpose of this study is to explore the role of implementing e-supply chain management (E-SCM) on the competitive position of companies and whether implementing customer relationship management (CRM) can affect the relationship between E-SCM and competitive advantage. To achieve this objective, a quantitative approach was utilized. A total of 300 questionnaires were distributed where 243 questionnaires were returned, with 17 incomplete questionnaires being excluded, leaving 226 usable questionnaires. PLS-SEM software was used to analyze the data. The results of this study demonstrate the imperative role of implementing E-SCM and CRM on creating a competitive advantage for firms. It also shows that CRM mediates the relationship between E-SCM and competitive advantage, suggesting that utilizing different technologies can help firms better communicate with their customers and thus better serve them which in turn will enhance customers’ satisfaction and thus boost the competitive position of the firm.

The purpose of this study is to examine the determinants of behavioral intentions to use of mobile health (m-Health) applications in Jordan through examining the mediating role of perceived trust and its influence on the behavioral intention to use such applications. A conceptual model was developed based on the extant literature. A questionnaire survey was administered to a convenient sample of 318. Data was analyzed using smart PLS 3. The findings suggest that patients’ behavioral intentions to use m-Health applications are positively affected by perceived ease of use, perceived security, social influence and perceived trust of these applications. Perceived Trust was also found to mediate the relationship between these factors and the behavioral intention. Discussion, conclusions, implications, research limitations and areas for future research are also provided.

Educational institutions worldwide are using online learning to provide students with continued education during the COVID-19 pandemic. The main purpose of this paper was to ascertain how facilitating conditions, social media, and ease of use, affect students’ perception towards online learning. During this pandemic, secondary school students were required to participate in full-time online learning. This study included 350 students from three regions in Jordan as a sample, and the results generated from the survey data were analyzed. Policy implications were established in this study to provide guidance to government agencies and schools on how to improve the delivery of online learning. Prospective research paths for future online learning research were suggested as well.

This study aimed to determine the intention of ATM users in Jordan to use internet banking services by investigating the effect of web-related features on their intention to use internet banking. The study sample was randomly selected. The results indicated that the level of internet banking usage among employees who use the ATM service is still underutilized. Also, computer self-efficacy significantly mitigated the effect of perceived risk, website quality, and perceived benefit on customers' intent to use online banking but did not significantly mitigate the impact of perceived use and compatibility on customers' intent to use online banking. The results can be useful for commercial banks that have implemented online banking in all their applications or are planning to do so. The study also provides benefits to academic researchers interested in the topic researched, commercial banks, commercial bank customers.

This research empirically explored the factors influencing the continuous use of mobile Apps in Jordan. The research utilized the Theory of Planned Behavior, the Diffusion of Innovation Theory and the Social Cognitive Theory to build the conceptual foundation of the research model. Using a quantitative approach, the study utilized a questionnaire with a set of well-validated items for the purpose of collecting data. The study collected 524 usable surveys, and analyzed the data using structural equation modeling technique (PLS-SEM). Results indicated that the three constructs relevant to this study (perceived risk, mobile self-efficacy, and social influence) were significant in predicting a users' awareness and the continuous use of mobile Apps. Customer focus moderated the relationship between awareness and continuous intention. In addition, the findings also confirm that users’ awareness mediated the relationship between the three independent variables and the continuous use. The Detailed findings of this research are discussed, with conclusions and future research reported at the end.