Human abilities are the primary factors that define the path of the corporation's improvement; these capabilities can be improved via training, experience, education, and innovation. Therefore, the current study delves into the impact of different leadership styles on marketing effectiveness and corporate financial performance through the role of corporate social responsibility as a mediator by utilizing a Partial Least Squares Structural Equation Modeling (PLS-SEM) to research 100 managers in 2023 in Jordanian banking sectors. The result of this study has shown a significant and positive relationship between leadership styles, marketing effectiveness, and financial performance. Furthermore, social responsibility, which is the mediator of the study, shows a significant role in the connection between leadership styles and marketing effectiveness as well as financial performance in banks. Minutely, this study found that transformational style promotes an innovation culture and inspires employees in the banking sector, in other words, this style of leadership emphasizes corporate social responsibility programs that support the bank and society's objectives.

This study aims to examine the connection between the disclosure of AI and financial performance of the banking sector in Jordan within a robust panel econometric setup. The purpose of this study is to examine the connection between Artificial Intelligence (AI) disclosure and financial performance of Jordanian banks in a wide-ranging panel econometric approach. The study uses the annual data of the 20 banks in Jordan for the period (2017-2023). The current study differs from previous studies in using panel unit root tests, panel cointegration analysis, fixed-effects and random-effects estimation, Hausman specification testing, and dynamic System Generalized Method of Moments (System GMM) estimation to overcome econometric problems such as non-stationarities, heteroskedasticity, serial correlation, cross-sectional dependence, and endogeneity. AI disclosure is assessed using a newly-developed AI Disclosure Index (AIDI) created by analyzing the textual content of annual reports against the AI Disclosure categories derived from the validated AI disclosure categories covering AI infrastructure, applications, governance, cybersecurity, and digital transformation. ROA and ROE are used for measuring financial performance. The empirical results show that AI disclosure has a positive and significant impact on bank financial performance, as measured by ROE, while accounting for the dynamic persistence and heterogeneity of banks. The results are consistent with alternative specifications and diagnostic procedures. The study is a novel and valuable addition to the literature, as it combines cutting-edge financial econometric techniques with AI disclosure analysis in a new banking market. The results indicate that clear transparency in AI use boosts operational efficiency, builds stakeholder trust, and fosters financial sustainability in banking institutions. The study also offers policy recommendations to regulators and financial institutions to develop a standard for disclosure of AI.

Thanks to technological advancements in finance, Islamic banking might surely spread throughout developing nations and become more viable in the financial industry. The present investigation aims to thoroughly explore the impact of fintech upon Islamic banks and also investigate how fintech facilities affect Islamic banks performance within Jordan. A strategy known as a quantitative-descriptive inquiry was used in the inquiry. This study made use of yearly data (a panel data) that was collected from banking organizations using statistics based on yearly reports provided by Jordan Islamic bank, Safwa Islamic Bank and International Arab Islamic Bank listed alongside the Amman Stock Exchange between 2017 and 2021. The study discovered that financial performance of Islamic Banks was significantly impacted by Fintech services including online banking along with mobile banking. The increased beta value predicts that between 2017 to 2021, the financial prosperity of Arab Islamic International Bank, Jordan Islamic Bank, and Safwa Islamic Bank would be positively correlated with Fintech services. Additionally, it was discovered that SMS Financing and crowdsourcing had a detrimental impact on Islamic Banks financial performance. The investigation concludes by recommending that Islamic banking included in the study step up their attempts to educate the public about Islamic banking facilities.

The present research endeavors to comprehend the determinants that impact the inclination to utilize financial technology within the context of Islamic banking clientele. The study undertakes an examination of various determinants that may exert an influence on the consumer's intention. These determinants encompass financial risk, legal risk, security risk, operational risk, consumer innovativeness, perceived ease of use, and perceived usefulness. The technology acceptance model is employed as the theoretical framework for the research. The requisite data for hypothesis testing is collected through the administration of an online survey to consumers of Islamic banks who possess a high degree of adaptability and proficiency in utilizing financial technology. The study employs the methodology of structural equation modelling with partial least squares to assess the proposed relationships among a sample of 399 participants. The results indicate that the acceptance of Islamic Financial technology services is contingent upon the perceived ease of use, perceived usefulness, and consumer innovativeness. In contrast, it is observed that various other factors, namely financial risk, legal risk, security risk, and operational risk, do not hold significant sway in shaping the level of acceptance of Islamic Financial technology among users of Islamic banking services. The concept of Technology Acceptance Model (TAM) is expanded within the realm of Islamic financial technology, and it is utilized to examine the impact of a novel factor, specifically consumer innovativeness. The untested nature of consumer innovativeness makes this paper a valuable resource for policymakers, academics, and researchers in the future.