Introduction: This study aims to focus on the role of artificial intelligence tools and capabilities such as artificial intelligence accuracy, learning rate and inference time in influencing big data analysis and building strategic plans at Zain Jordan Telecommunications Company. Objective: The review explores how increasing the ability of organizations to maintain competitive capabilities in an era of continuous change and development in the field of information technology, most organizations focus on adopting new tactics and increasing features to improve organizational performance, improve services provided to customers, simplify administrative and operational processes, improve operational efficiency and make strategic decisions. Method: A research questionnaire was distributed to study the impact and measure the impact of artificial intelligence tools such as artificial intelligence accuracy, learning rate and inference time on increasing big data analysis capabilities and building strategic plans. 163 valid questionnaires were received for analysis and the data were analyzed using the PLSSIM system.Result: Artificial intelligence tools such as artificial intelligence accuracy, learning rates and inference time positively affect increasing big data analysis and building strategic plans.Conclusion: this study allows for a deeper understanding of the impact of artificial intelligence tools and capabilities in influencing big data analysis and building strategic plans.

This research will examine the impact of the adoption of financial technology on conventional banks’ financial performances. The research will place emphasis on the listed commercial banks at Amman Stock Exchange—ASE, using financial data for the period 2012–2020. The main study tool was a questionnaire that focuses on three main dimensions: financial inclusion—(FI), alternative payment methods—(APMs) and automation—(Auto). A total of 115 questionnaires were distributed to all commercial banks listed at Amman Stock Exchange—ASE. Multivariate regression analysis was employed to test the impact of the FinTech dimension as a proxy for independent variables on Jordanian commercial bank’s financial performance as a proxy for dependent variables. Based on the analysis results, the study concludes that all three FinTech dimensions: FI, APMs and Auto. reflected a positive significant impact on Jordanian commercial bank’s financial performance indicators (total deposit, total loans and net profit margin). Therefore, banks in general should invest more and more into financial technology tools and applications, in order to recruit potential clients and retain their current clients, to be able to sustain under fierce competition within the banking sector.

The main purpose of this study is to investigate the relationship between financial stability and banking soundness in Jordan. For this purpose, the study mainly uses the FMOLS approach in addition to other analysis techniques and tools. The outcomes of the descriptive analysis show that the Jordanian financial system seems stable, and the indicators of banking soundness signal a steady and solid banking sector. The cointegration tests indicate that the considered variables have a long-term equilibrium relationship; the variables move together in the long term. The empirical results reveal that the majority of the banking soundness indicators have a positive impact on financial stability. This asserts that a sound banking sector plays a vital role in maintaining a stable financial system. However, the findings also indicate that a steady interest rate policy is one of the significant requirements for sustaining the stability of financial systems. Moreover, the response of financial stability with respect to economic growth changes is found to be positive and relatively high. On the fact of the importance of the topic under study, since financial stability is one of the major concerns of the authority bodies, the empirical findings can have very important policy implications for decision-makers.

Introduction: The importance of this study is to investigate decision-making by making decisions about data and real-time analytics and practicing ethical data on human resource performance and employee satisfaction.Objective: The study was conducted at Zain Telecommunications Company Jordan through designing a questionnaire for a segmentation research in the telecommunications and exhibitions company and 220 suitable samples were removed to analyze the structural equation modeling program method SEM.Method: The diversity of independent studies was indicated through the contracts indicating it, so multiple choices were used as evidence, workforce turnover forecasts, performance measures were available to indicate the correct decision-making to the data. Its employees were used in real time, tracking the productivity of dynamic workforce workers, and instant questionnaire mechanisms to indicate real-time analytics.Result: Transparency in its data use policies, implementation of data privacy standards, and algorithmic fairness were used in innovative processes to indicate ethical data practices. Through the questionnaire that was distributed, these parties' studies were conducted on improving the performance of human resources and employee satisfaction.Conclusion: His studies have concluded by integrating his three main areas of accurate decision making of his research, real-time analysis and practice of creative data and performance significantly improves the HR outcomes he chooses from employee satisfaction by choosing his specialty on data keeping pace with organizational goals by choosing his evidence.