The rise of digital marketing channels and e-commerce has compelled businesses to shift to a digital economy, where the use and use of technology in business operations necessitates the development of technopreneurs rather than entrepreneurs. Moreover, technopreneurs can transform a technical idea into and market-ready product that consists of intellectual wealth as the gateway to financial wealth. This study aims to inspect the relationship between strategizing business models for transformation and development as well as the moderating role of Business Intelligence (BI) towards becoming a successful technopreneur. The study obtained 313 respondents among entrepreneurs from Small-Medium Enterprise (SME) in Malaysia using a simple random sampling method by utilizing an online survey (Google Forms) to participate in the main survey. They are recognized as highly knowledgeable respondents who use digital technology to improve their businesses; as a result, they possess the knowledge necessary to give a trustworthy response based on their actions and experiences to succeed as technopreneurs. The collected dataset was analyzed using SmartPLS software to test the hypotheses, and a structural model was utilized in the study to assess direct relationships. Based on p-values and t-statistics, the bootstrapping technique was used to increase the significance of both direct and indirect impacts (path coefficient). The findings of this study highlight that strategized business models and successful technopreneurs may become an innovative high technology-intensive context with the moderating role of BI technology prowess and entrepreneurial talent and skills that develop technopreneurs in the new age of entrepreneurs who make use of the digital economy.

The objective of research is to explore the impact of business intelligence systems, artificial intelligence, and digital leadership sustainability on the quality of learning and business performance at business schools of private universities in Jordan. Upon gathering and scrutinizing the research materials, a grand total of 281 samples were judged suitable for analysis using PLS software. The findings of this study suggest that the implementation of business intelligence systems, artificial intelligence, and digital leadership sustainability positively contribute to improving both the quality of learning and the performance of enterprises. The results demonstrate that the implementation of a business intelligence system, and Competitive Intelligence, directly and positively impacts the enhancement of learning quality and company performance. Furthermore, Artificial intelligence has a positive influence on the quality of learning and the performance of businesses, namely through the utilization of Deep learning, Digital Data, Graphical Processing Unit (GPU), and Data Safety and Security. Furthermore, digital leadership sustainability exerts a direct and favorable impact on the caliber of education and organizational achievement, encompassing Digital Competence, Flexibility and Agility, Interconnected Thinking, and Employee Orientation. Furthermore, the findings indicate that the level of education, encompassing Summative Assessment, Formative Assessment, Quizzes, and Presentations, is positively associated with enhancing firm productivity. Curiously, the present results contradict previous studies suggesting that the variables being examined had an influence on achieving digital leadership sustainability and business performance. Generally, the main research outcomes recommend that corporations should start adopting strategies related to enhancing learning effectiveness and improving business performance. This research focuses on the major aspects of business cleverness systems, artificial intelligence, and digital leadership sustainability to enhance the quality of learning and business performance in the business capabilities of private institutions of higher education in Jordan.

This study aims to examine Business Intelligence (BI) and its influence on Sustainable Project Performance (SPP) from the perspective of Data-Driven Project Management Capabilities (DDPMC). A capability-based view is adopted throughout the study and it is argued that BI would be more effective in terms of providing project value if the analytical information is converted into managerial capabilities and put into the project planning, monitoring, risk management, resource allocation and decision-making processes. Quantitative research with cross sectional research design was used, and 380 professionals of project-based organizations in Jordan were targeted for data collection. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the proposed relationships. Results show that BI plays a major role in affecting DDPMC towards Sustainable Project Performance. DDPMC also has a strong positive impact on Sustainable Project Performance. Moreover, mediation analyses reveal that the link between BI and Sustainable Project Performance is partially explained by better data-driven managerial capabilities, revealing that DDPMC has a significant mediating role. The study's novel contribution is that it brings all three fields together within a single schema, and that it proposes that DDPMC is one of the significant mechanisms by which BI may contribute to economic, environmental and social project outcomes. The results also highlight the importance of organizations investing not only in BI technologies but in building their analytical and data-driven project management skills.

The advent of Business Intelligence (BI) can be seen as an important organizational capability for developing strategic decisions and innovation in the financial industry. On the other hand, the quick development of Financial Technology (FinTech) has greatly changed the face of financial services by ensuring operational effectiveness, better customer experience, and competitive advantage. In spite of the growing usage of business intelligence systems within financial organizations, there is still a shortage of empirical evidence about the processes of how business intelligence helps FinTech succeed in an organization. Specifically, prior studies did not pay much attention to the mediating role of Project Management Development in translating business intelligence into successful implementation of financial technology. In order to fill this gap, the current study is focused on investigating the direct impact of Business Intelligence on the success of Financial Technology, how Business Intelligence affects Project Management Development, how Project Management Development affects FinTech success, and the mediating effect of Project Management Development in this process. For this purpose, the Dynamic Capabilities Theory (DCT) and Resource-Based View (RBV) serve as the main theories for the current research. in order to boost the effectiveness of financial technologies. This research utilizes the Quantitative Research Methodology in which a standardized questionnaire survey is sent to managers and professionals in financial organizations working with Business Intelligence and Financial Technologies. The collected data is analyzed using the method of Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The proposed theoretical model suggests that Business Intelligence has a powerful positive influence on Project Management Development due to better data integration, higher analytic skills, effective decision-making process, and sharing of knowledge in the organization. As a result, Project Management Development Boosts Financial Technology Performance by improving planning, implementation, control, collaboration, and resource management of projects. Expected findings will contribute to the development of theories and practices by expanding the Dynamic Capabilities Theory into Financial Technology domain and providing practical evidence that efficient application of FinTech solutions is possible only in case of high Business Intelligence skills along with effective project management techniques.

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 research studies the impact of digital project management and sustainable performance enhancement by taking the role of business intelligence and the mediating role of big data analytics in destination management organizations in Jordan. The research aims to explore the main effects of business intelligence (BI) on digital project management and sustainable performance, with the role of big data analytics as a mediator. The research, using a quantitative approach, was employed by an online questionnaire aiming at employees and managers involved in digital project management in Jordanian Destination Management Organizations (DMOs). After collecting and analyzing 345 valid surveys through PLS-SEM, the results indicate that BI has an important positive effect on digital project management and sustainable performance, in addition to an indirect result through big data analytics (BDA). Furthermore, BI positively affects big data analytics skills, which sequentially give meaningfully to enhance digital project management. The intermediation analysis approves that BDA shows an important role in converting BI resources into real sustainable performance results. Generally, the research highlights the implication of supporting big data analytics talents to fully realize the revenues of BI systems and offers valuable theoretical and practical understandings for DMO managers looking to increase project results and provision digital transformation through data-driven decision-making.

As a concept, PMS is becoming increasingly important for determining the sustainable success of an organization. PMS refers to how the organizations execute project tasks in a sustainable manner while maintaining the economic, environmental and social equilibrium of their activities. Importantly, the PMS includes actions that are geared toward project goal achievement and sustainable development. At the current time, there is increasing dynamism and availability of information among organizations. Under such conditions, BI emerges as a concept. Business intelligence can be defined as the set of methodologies and tools employed by organizations to capture, analyze and interpret data to gain information. With BI, organizations can achieve increased visibility and improved planning and performance of projects. Despite the importance of BI in helping organizations achieve sustainable success in project results, it cannot be emphasized enough that the sustainability of project results requires even better techniques of information analysis. In this connection, organizations need DM as an advanced form of BI that aims at identifying underlying information from large amounts of data.

The objectives of the suggested study would be to investigate the effect of BI on the PME within the banking sector of Jordan and also explore the mediation of the effect by HRA. Due to the increased focus on data usage in current businesses, the Banks in Jordan have started to utilize BI for effective decision making and enhance the effectiveness of their projects. Nevertheless, there has been no research on how BI increases the effectiveness of projects, especially when it comes to enhancing human resource capabilities. The design of quantitative research has been selected where surveys would be employed and distributed among the employees participating in the project management tasks. As per the methodology, descriptive and analytical approaches would be followed by using PLS-SEM for analyzing the data. It is assumed that BI would significantly contribute to the increase in the level of PME both directly and indirectly through the mediation of the HRA.

This study aims to model the relationship between business intelligence (BI), supply chain integration (SCI), and firm performance in Jordanian small and medium-sized enterprises (SMEs) using structural equation modeling (SEM). The study utilizes a sample of 400 SMEs from different sectors in Jordan to investigate the hypothesized relationships between the constructs. The results show that BI positively influences SCI and firm performance in Jordanian SMEs. Moreover, SCI was found to mediate the relationship between BI and firm performance. The study also found that the impact of BI on firm performance is fully mediated by SCI, suggesting that SCI plays a crucial role in enhancing firm performance in the context of Jordanian SMEs. The study makes several significant contributions to the literature on supply chain management and business intelligence in the context of SMEs. First, it provides empirical evidence of the positive impact of BI on SCI and firm performance. Second, it sheds light on the mediating role of SCI in the relationship between BI and firm performance. Third, the study contributes to the limited literature on supply chain management and business intelligence in the context of Jordanian SMEs. The findings of this study have practical implications for managers of SMEs in Jordan. They highlight the importance of investing in BI tools and strategies to enhance SCI and firm performance. Additionally, the study suggests that managers should focus on improving their firms' SCI practices to fully exploit the benefits of BI and improve their overall performance. Overall, this study provides new insights into the relationship between BI, SCI, and firm performance in the context of Jordanian SMEs. The study's findings can guide policymakers, researchers, and practitioners in developing and implementing effective strategies to improve supply chain management and business intelligence practices in SMEs, particularly in emerging markets such as Jordan.

This research attempts to investigate the technological, organizational, and environmental aspects that impact the banking industry's use of business intelligence (BI). In addition, the present research aims to quantify the effect of business intelligence adoption on bank performance to contribute to the current understanding of business intelligence adoption. Upon the completion of the sample verification procedure, 232 samples are collected. Throughout the research investigation, the SEM software is used to process all the acquired data. The study's findings indicate that TOE had a direct and beneficial effect on the adoption of BI systems by banks. Based on the results of the study, the researchers believe that decision-maker and managers would define all activities, responsibilities, and work processes using business intelligence platforms in order to increase their organization's versatility and performance.