This research explores the significance of sustainability development through the role of environmental disclosure in Jordanian ministries and government departments by focusing on ministries and government departments that are related with the environment. This research presents the relationship between the environmental disclosure in annual reports and its impact on the overall environmental performance in Jordan, with the use of a mixed approach that will provide better quality of research results. The quantitative approach was used to examine the budgets of 22 ministries and government departments. The study was conducted using the time series from 2006 to 2015. The qualitative approach was conducted to raise the issues related to the subject that are not looked at in the quantitative study and to understand the perception of respondents in the ministries and government departments on the factors and items included in annual reports affecting of environmental disclosure and environmental performance in Jordanian governments. The results show a significant relationship between environmental disclosure and environmental performance in Jordanian government. The findings of this paper present new implications for theorists and practitioners of sustainability development by presenting the importance of the impact of environmental disclosure in the ministries and departments and its relationship on environmental performance of the Jordanian government.

The main aim for the current paper is to shed some light on some macroeconomic variables that affect the portfolio investment in one of the Middle East countries (Bahrain) for the period 1989-2018. Autoregressive Distributed Lag (ARDL) test was employed. The findings revealed that there was a long run relationship between portfolio and macroeconomic factors. The variable can cause portfolio investment only for consumer price index and gross domestic product in long run. Meanwhile, it found only consumer price index has statistically significant effect with portfolio investment in short-run.

The study aimed to examine the impact of the marketing mix for digital content on the marketing performance of five-star hotels in Jordan. The dimensions of the marketing mix for digital content were (digital marketing database, social media platforms, digital pricing, and digital advertising), while the dimensions of marketing performance were (customer loyalty, customer satisfaction, and attracting new customers). The study population represented five-star hotel customers in Jordan, where an appropriate sample of (294) customers was used. The data of the study were analyzed using the Structural Equation Modeling (SEM) technique. The study concluded that all dimensions of the marketing mix for digital content had a positive impact on the marketing performance of five-star hotels in Jordan. Accordingly, the study recommended managers in these hotels pay more attention to promoting through digital means by publishing advertisements that include images and videos related to the quality of services available.

The goal of this study is to develop and verify a model for successful e-Learning based on the experiences of students in the "new normal". From Jordanian universities, 550 students who have taken any e-Learning course were randomly selected. Data were collected via a survey questionnaire, and Structural Equation Modeling (SEM) was employed to test the proposed study model. The findings indicate that contactless learning and high-quality e-learning systems have a beneficial impact on student satisfaction. In addition, e-Learning cognitive involvement was found to solidify e-Learning satisfaction. Furthermore, the results show a positive and significant impact of e-Learning cognitive involvement and e-Learning satisfaction on e-Learning achievement. Also, e-Learning system quality positively affects e-Learning cognitive involvement, besides a direct impact of contactless learning quality on e-Learning cognitive involvement.

The aim of this study is to clarify the effect of e-HRM on organizational performance and talent management following a quantitative method with a cross-sectional design to collect data by a questionnaire distributed to a sample of managers working at industrial firms in Jordan. Based on the strategic evolution perspective, the results pointed out that e-HRM contributes to the achievement of organizations strategic objectives through its significant and positive effects on both organizational performance and talent management. Hence, it was concluded that e-HRM is one of the most critical antecedents of reaching the organization's strategic objectives. Such results call firms to enhance their implementation of e-HRM practices and scholars to examine the effect of e-HRM on other variables such as competitive advantage, human resource development, and strategic alignment.

This study aims at investigating the effects of e-HRM (operational, relational, and transformational) practices on the effectiveness of human resource service through user training. A questionnaire was used to collect data from a sample consisting of HR staff in fifteen food firms. The results showed that the influence of operational e-HRM on the effectiveness of human resource service was fully mediated by user training, and the influence of relational e-HRM on the effectiveness of human resource service was partially mediated by user training. Further, it was found that transformation has an insignificant effect on HR service effectiveness. The study contributes to the literature through identifying the effects of operational, relational, and transformational e-HRM practices on the effectiveness of human resource service and therefore help filling such a gap in literature. In addition to providing HR managers with results, acknowledge the importance of user training to implement e-HRM effectively.

Social media influencers have become a more effective modern marketing approach used by businesses to influence consumers' intention and attitude. This study explores this influence by involving several factors of influencer’s characteristics on both consumers’ attitude and intention. Also, a moderation role of vloggers as a new emerging marketing tool is also examined in this research. To conduct this research and achieve its key objective, the study uses a quantitative research method to collect data from TikTok users which has also become a more worldwide favorable web device for short videos. PLS-SEM method is conducted in the phase of analysis and the results show a significant influence of the hypothesized research model except the influence of source relatability on consumer attitude and the moderating role of vloggers on consumer intention. The research findings provided unsurprisingly implications and supported the existing related literature in this field but contribute to cover the research knowledge gap through the integrated new model including numerous variables that have not been examined previously together in a unique framework.

Intelligent Personal Assistant (IPA) adoption has ushered in a technological revolution in today's society. There are several well-known IPA agents, like Google Assistant and Cortana, which were both created by Microsoft. The benefits of IPAs' speech comprehension capabilities have resulted in an increase in IPA users year after year. The goal of the study is to look at how an IPA's speech comprehension capability could be improved in the future, making it easier for IPA users to handle their everyday routines. This study will employ a survey and an unstructured interview to learn about users' expectations for an IPA's speech comprehension capabilities and how IPA adaptation affects their daily routine management. To fulfill the research's goal, an IPA with a daily routine management system will be suggested using the methodology and project design that have been determined.

As a result of the advanced technological development, the businesses operations have been involved within modern marketing activities to promote their products and services. This study highlights the role of key various digital marketing channels. The study addressed the role of digital marketing channels by using some applications (such as online advertising, social media, emails marketing, and websites search engine) to be examined on the consumer buying decisions with a mediating effect of the eWOM. A quantitative research approach was used to achieve study objectives and examine the hypothesized research framework by using a customized survey questionnaire in the retailing sector. A total of 255 valid responses were considered for further analysis by using SmartPLS3 software to conduct the key analyses. The results revealed the significant effect and role of all digital marketing channels on the consumers buying decisions, with the moderated role of the eWOM on the effect of digital marketing channels on consumer buying decisions. The study offers additional contributions to the existing literature and supports the assumptions to provide a better grasp about the study topic.

In online shopping enterprises, AI technology has been widely used to provide accurate and fast personalized consumer services. This research demonstrates the use of AI technology in the e-commerce business, specifically online enterprises, to determine different effects. The study was conducted in Jordan and involved about 230 participants. The study evaluated different impacts of AI, such as e-payment and stimulating consumers' sentiments. The study used the Stimulus–Organism–Response model (SOR) empirical model, which states that the examination of human processes differs from that of the machine assessment. The model classified the AI technology experienced by the customers' when they visit online to do purchasing. Online purchasing behaviors can be influenced by insight, accuracy, and interaction experience. Also, the perceived value was used as a mediating variable from the prospects of perceived hedonic and utility value. The research integrated empirical research models such as SEM and SPSS to analyze the data on the effects of three-dimension. The results indicated that the AI technology accuracy, interactive experience, and insight significantly affected customers' perceived hedonic and utilitarian values.