The goal of this study was to find out how entrepreneurship self-concept, work motivation, and risk taking on human resource department performance and business overall performance at Jordan private universities. To test the study's assumptions, 311 samples from the research study were taken, looked at, and argued about. Entrepreneurship, self-concept, work motivation, and risk taking were all found to affect the success of both human resource department performance and business overall performance. The first factor was the self-concept, which can be seen in self-esteem, self-image, and self-identity. The second most important factor is work motivation, which includes intrinsic motivation, extrinsic motivation, goal setting and orientation. Risk taking is the third and final important factor. It includes participants' risk tolerance, their perception of risk, and their outcome expectations. The study found that helping employees to understand their job nature and how they can do it, increasing the motivation on job work, and increasing the employees’ demands for taking risks can improve performance ratio in human resource department, and that having an organizational structure that encourages teamwork and work teams can improve the ability to solve problems and improve work performance, which in turn affects overall productivity. This study adds new information to a new area that needs more research to fully understand how workload, work pay, and organizational structure pressures all affect each other. This study's topic, Jordan private universities, is both new and important because it could help scientific private universities to improve how they run and give better education output.

In Jordan, there are entrepreneurial companies in need of resources, and their resources available in the digital world are not sophisticated enough to utilize data analytics in effective decision-making processes. Thus, an understanding of the possible role which a digital human resource management can play to fill in some of these vacancies and to improve the project management in such situations becomes very important. In this study, it is aimed to examine whether digital transformation of human resource management acts as a mediation variable between business intelligence (direct) and project management (indirect) or not. In testing the hypothesis used method of data collection was the method of survey and the method of research used in the study was quantitative research. The Stratified random sampling technique was used and 400 questionnaires were distributed, however, 361 questionnaires were analyzed with business intelligence and digital HR proficient employees in entrepreneurial companies in Jordan. Data Analysis was carried out using the technique of 'Structural Equation Modeling (SEM)' and analysis by using SPSS and Smart PLS software. The results indicated that the impact of the business intelligence on the project management at beta level is strong (beta = 0.735, p < 0.001). Furthermore, business intelligence influences the Digital Transformation (beta = 0.697, p < 0.001) that consequently has a positive impact on project management (beta = 0.163, p < 0.001). Considering the obtained findings, it can be said that the Digital transformation of HRM can be a partial mediator between business intelligence and project management. This study makes a contribution to Resource Based-View as it considers digital transformation of HRM a capability that uses technologies as a way to achieve competitive advantage.

This study aimed to find out the impact of work-life balance on employee satisfaction in five-star hotels in Amman, Jordan based on a descriptive analytical approach. The questionnaire of the survey was designed and distributed to a sample of participants in order to collect the necessary data for this study and they were analyzed later through the SPSS V22 program. The study population was the hotel sector in Jordan, while the study sample included the five-star hotels in the capital, Amman, and the sampling unit included the employees of the middle and lower levels of management in the five-star hotels in Amman. The study showed a number of results, including the existence of a good level of work-life balance by employees in top manage-ment in the five-star hotels in Amman, as well as the high level of employee satisfaction within the sector. The study recommended the importance of the need to identify the concept of work-life balance and understand the relationship to achieve better satisfaction for the employees. The study also recommended future studies to determine the effect of work-life balance on the employee satisfaction in different sectors in Jordan.

The research is aiming to enter deeply into studying the implementation of enterprise resource planning (ERP) and measuring the effects on the integration of supply chain at Jordanian Nuqul Group Company. Defining the effects of applying ERP systems in human resource, and production management departments, and how the implementation process will be effective on the integration with suppliers, customers, and processes are representing the main objectives of this research. 185 research questionnaires distributed, collected, and 150 respondents were accepted for the research study analysis. Furthermore, this research used structural equation models with AMOS for testing research hypotheses. The research findings agreed with the result that applying enterprise resource planning systems could affect positively on the supply chain integration with suppliers, customers, and processes.

This study sought to investigate the impacts of big data, artificial intelligence (AI), and business intelligence (BI) on Firms' e-learning and business performance at Jordanian telecommunications industry. After the samples were checked, a total of 269 were collected. All of the information gathered throughout the investigation was analyzed using the PLS software. The results show a network of interconnections can improve both e-learning and corporate effectiveness. This research concluded that the integration of big data, AI, and BI has a positive impact on e-learning infrastructure development and organizational efficiency. The findings indicate that big data has a positive and direct impact on business performance, including Big Data External and Internal, Innovative Usage, Indexing, and Sources Accuracy. In addition, Artificial intelligence positively affects business performance, including Data Accuracy, Data Transparency, Data Speed, and Creative Thinking and Learning. Moreover, business intelligence has a direct and positive impact on business performance, including Data Warehouse, Data Mining, Business Process Management, and Competitive Intelligence. In addition, the findings indicate that e-learning which represents system quality, information quality, and self-efficacy has a positive relationship on enhancing business performance. Interestingly, the present findings are inconsistent with those of previous studies showing the variables of interest which have no effect on e-learning and business performance. Taken together, the findings of this study suggest that firms should begin to apply processes related with applying e-learning and developing business performance. The novelty of the present study lies in highlighting the key dimensions of big data, artificial intelligence, and business intelligence when it comes to enhancing e-learning and business performance at Jordanian telecommunications industry.