This research explores the mediating role of data analytics in the relationship between business intelligence and the advancement of digital project management in Jordanian small and medium enterprises. A quantitative research approach was adopted to collect data using an online survey tool from employees and managers in Jordanian SMEs involved in various tasks of digital project management. After collecting 456 valid questionnaires, the data were analyzed using PLS-SEM. The results revealed that business intelligence has a direct impact on advancing digital project management and an indirect, significant impact through data analytics. This study also found that business intelligence influences positive data analytics abilities, which in turn have a significant impact on the advancement of digital project management. The mediation analysis indicates that data analytics plays an important role in transforming business intelligence resources into effective digital project management performance. This finding highlights the importance of enhancing the capability of data analytics toward fully realizing the potential benefits of BI systems in driving the effective advancement of digital project management techniques within Jordanian SMEs. This research offers important theoretical and practical perspectives for SME leaders and policymakers seeking to improve project outcomes and expedite digital transformation via data-informed decision-making.

The rapid uptake of AI in the financial industry has transformed how legal compliance, risk management, and decision-making are conducted. However, issues regarding the transparency, accountability, and legal compliance of emerging markets remain. This paper examines how data analytics mediates the relationship between the adoption of AI and legal compliance in the financial markets in Jordan. A quantitative research approach was employed, whereby data were gathered from financial institutions in Jordan and analyzed via SPSS and AMOS using Structural Equation Modelling (SEM). AI was found to have a significant and positive direct influence on legal compliance and a strong influence on data analytics capabilities. Additionally, data analytics was found to positively influence legal compliance and partially mediate the relationship between AI and legal compliance. This suggests that the outcomes of AI compliance are improved when additional analytics are employed that improve interpretability, transparency, and streamlining of the regulation. This study documents the empirical evidence from Jordan on the hitherto unexplored mediating role of data analytics in the AI-compliance literature. The findings have practical implications for financial institutions and regulators who wish to practice AI within the legal and regulatory constraints.

This study investigates the critical role of information technology integration in enhancing project risk management, specifically examining the mediating effect of risk identification effectiveness. Based on a quantitative approach, the study collected data from 173 respondents working in the construction, engineering, and telecommunication sectors using a comprehensive questionnaire. We employed Smart PLS-SEM for data analysis to test the study hypotheses. Our findings reveal that IT integration significantly and positively influences both risk identification effectiveness and overall project risk management. Importantly, the study confirms the mediating role of risk identification effectiveness, indicating that IT's contribution to successful project risk management is significantly enhanced when it empowers teams to identify potential risks early and accurately. These findings indicate the strategic importance for organizations in these sectors to prioritize investments in IT solutions that not only streamline project management processes but also specifically enhance risk identification capabilities. Discussion and conclusion were depicted at the end of work.

The current study aimed to shed light on the influence of quality 4.0 including Data, Analytics, Connectivity, Collaboration, App Development, Scalability, Management Systems, Compliance, Culture, Leadership, and Competency in supporting organizational efforts of digital transformation among Jordanian telecommunication organizations. A quantitative approach was adopted to achieve the previously mentioned aim. An online questionnaire was filled out by a convenient sample of 141 quality managers and employees within Jordanian telecommunication organizations: namely Zain, Umniah, and Orange. SPSS was used to screen and analyze primary data and AMOS version 23 was used to test the study hypotheses. The results of the study accepted the main hypothesis which indicated that quality 4.0 increases organizations seeking to accomplish digital transformation due to its ability to present better chances for the organization to develop and adhere to quality standards. The study recommended supporting organizational IT infrastructure to make a good environment for quality 4.0 adoption.

In the current era of information technology Big Data has gained significant importance in almost all the industries throughout the world. Big Data is now renowned for having the capability of effective decision making. Now companies around the globe are using Big Data for market analysis, customer analysis, however, the utilization of Big Data is much higher in the financial sector, yet publications on Big Data and finance are limited because of having significant challenges. Even though utilization of Big Data is highest in the financial sector and its importance cannot be ignored, the studies and analysis are inadequate. Considering the importance of Big Data in the financial sector this paper is an attempt to conduct a comprehensive literature review in the field of Big Data and finance. Thus, the study will contribute to the body of knowledge by providing horizons for empirical research in the field of Big Data and finance.