The study aimed at investigating the effect of e-HRM use on employee flexibility based on Davis’ technology acceptance model. Seven hypotheses were proposed. Two external factors (HR department role and organizational readiness) were linked to e-HRM perceived usefulness and e-HRM ease of use. These two factors linked to the behavioral intention to use e-HRM, which in turn connected to employee flexibility. All these propositions were accepted through analyzing data collected via a questionnaire from a sample consisting of managers and employees of human resource departments in Islamic banks in Jordan. The study contributes to the literature through clarifying and extending the technology acceptance model of e-HRM, as identifying two of the external factors that significantly affect e-HRM perceived usefulness and e-HRM ease of use, as well as, and spreading the model to include employee flexibility.

The major purpose of this research is studying the impact of artificial intelligence, big data analytics and business intelligence on transforming capability and digital transformation in Jordanian telecommunication firms. 303 samples were gathered after the sample checking process was completed. The PLS program was utilized in the research study to process all the collected data. The findings of the research demonstrate a set of relationships and linkages that can enhance transforming capability and digital transformation. Finally, this study found that artificial intelligence, big data analytics and business intelligence have good effects on developing and enhancing the transforming capability and digital transformation.

Virtual reality (VR) is a new technology that has applications in a variety of sectors, including medical, education, gaming, psychology, and sociology. The application of VR in education is intriguing and warrants further examination, but research on the subject is currently restricted. VR can benefit education by allowing students to participate in memorable and engaging experiences that they would not otherwise be able to have. Traditional approaches are still used to teach students, which is an essential element of the curriculum for those who want to conceive problem-solving. As a result, there is a scarcity of study on VR deployment. In this paper, we investigated the factors affecting the adoption of VR in higher educational institutes. To this end, we extended the technology Acceptance Model (TAM) with four additional factors and formulated a set of hypotheses. The hypotheses are then evaluated using a dataset collected from 503 Jordanian students. The result shows that the factors perceived facilitating condition, perceived effort expectancy, and perceived compatibility significantly affected the intention to use VR systems and tools for educational purposes. We believe that this study will help decision makers to build sustainable learning and educational systems in Jordan universities.

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.

The objective of the study was to determine the impact of electronic human resources practices on Employees Satisfaction in private hospitals in Jordan. The dimensions of electronic human resources practices are (e-recruitment, e-training, e- performance evaluation, e-rewards system, and e-communication). Data were analyzed using IBM SPSS and AMOS software. The population of the study involves all the physicians working in private hospitals in Jordan. Data were primarily gathered through self-reported questionnaires created by Google Forms which were distributed to a purposive sample of physicians via email. To achieve the objectives of the study and test hypotheses, the researcher used SPSS and path analysis. The study results showed that there is a statistically significant impact of electronic human resources practices on employee’s satisfaction. Considering study finding, the researcher recommends decision makers to provide the largest possible investment in modern technology, and to subscribe to databases that qualify doctors to practice electronic human resource management dimensions that were mentioned in the study and ensuring doctors’ job stability.

Social media is becoming more and more popular as a medium for marketing and promotion. Banks, for example, have spent a substantial amount of time, efforts, as well as finances marketing their products. Nevertheless, figuring out how businesses may use social media marketing to reach customers and encourage them to remain loyal is really a challenge. Therefore, the study purpose is to identify as well as test the key sections of social media marketing that can anticipate improvements in customer experience. The conceptual framework was proposed using seven variables (performance expectancy, hedonic incentive, and habit) from the expanding Unified Theory of Acceptance and Use of Technology (UTAUT2), as well as interactivity, information quality, perceived relevance and purchase intention. The research data was gathered through 437 questionnaires from banks customers. The validity of the existing model and the strong impact of performance expectancy, hedonic motivation, interactivity, information quality, and perceived relevance on customer experience were significantly supported by the primary results of structural equation modeling (SEM). This research should give marketers with a lot of theoretically and practically recommendations on how to organize and conduct social media marketing effectively.

This study aims to investigate the moderating effect of enterprise risk management on the relationship between the board of directors’ effectiveness on accounting and market performance in Jordan. The current study uses panel data of 684 firm-year observations, employed regression analysis and analysis of annual reports of 76 listed companies on the Amman stock exchange (ASE) from 2009 to 2017 covering 9 years. The findings of the hierarchical regression analysis showed that the enterprise risk management has a significant positive moderating effect on the relationship between the board of directors’ effectiveness on accounting and market performance in Jordan. The findings reveal that enterprise risk management positively moderated the relationship between board of directors’ effectiveness on Return on Assets, Return on Equity, and Tobin’s Q. It also moderated the interaction of board of directors’ effectiveness intercept enterprise risk management on Return on Assets and Return on Equity, which were found positive and significant. The findings of this paper can provide crucial conclusions and recommendations that clarify the relationship between the board of directors’ effectiveness and the accounting and market performance in Jordan and the moderate impact of the enterprise risk management.

This study aims to investigate the effect of digital marketing, social media marketing and electronic word-of-mouth EWOM, on the purchase intention with moderating effect of brand equity. A quantitative research approach was used to achieve the research objectives. The data was collected from a sample consisting of 254 online shoppers of IKEA Jordan. By using a random sampling technique, the data was collected through an electronic questionnaire. Statistical analyses were conducted such as data normality and scale reliability by using IBM SPSS 21 software, followed by measurement model and hypothesis testing by using Smart PLS3 software. The results assessed the validity of the measurement model, structural model as well moderation analysis that was conducted based on the study objectives. The findings confirmed the assumptions which stated the digital marketing had a positive significant effect on purchase intention, and the moderating effect of brand equity revealed a significant effect. The study has contributed to the existing literature by providing future research suggestions and directions linked to this topic in the context of Jordan social media marketing and shopping.

Bug tracking systems are standard repositories that preserve a large number of uncovered bugs. Once a bug is reported in these repositories, developers search for appropriate changes to fix the bug. However, discovering the changes that can fix the bugs has a negative influence on the schedule and cost of projects. Mainly, fixing bugs could be done by performing some other maintenance changes. In this work, we study and examine the role of adaptive maintenance in the context of API-migration during bug fixing activities through a case study on KOffice, Extragear/graphics, and Open Scene Graph projects. Our goal is to direct developers towards potential bugs early in development which are more likely to be fixed by performing adaptive changes as opposed to other maintenance tasks. We examined the reports of fixed bugs from the bug tracking systems of the studied projects, then we explored several factors related to variant dimensions of the reports and their relevant version history commits, in order to evaluate their effectiveness to decide whether a bug is likely to be fixed by adaptive changes. Our case study results show that bug residency time, textual contents of the report, the component that the bug was found in, and reporter/commenter experience show significant differences between the bugs that are fixed by adaptive changes and other fixed bugs.

Broadening the approval and usage of technology to study online education is not a novel study subject, and several researchers have addressed it. However, the production of a systematic Technology acceptance model capable of examining online education adoption in the current Covid-19 is seen as a vital research path. Literature research was conducted to evaluate the most used external influences of innovation adoption regarding online learning acceptance. The search revealed that computer self-efficacy, corona apprehension, perceived ease of use, and perceived usefulness are the external factors for technology acceptance. The purpose of this paper is to investigate the variables that online education programs' approval among students can influence. 185 students from Jordan's Al-Zaytoonah University and Applied Science Private University participated in the online research. The online questionnaire system in this report was analyzed using SmartPLS tools. According to the findings, perceived usefulness, behavioral intent of use, self-efficacy, and Corona fear all positively affect the adoption of online education programs. The findings of this study were used as a required input in the latest online education interactive analytical production that was used extensively during the pandemic.