In today’s competitive business environment, digital transformation is crucial for organizational success. The Jordanian banking sector faces the challenges of adapting to rapid digital advancements, evolving customer expectations, and intense competition. This study investigated the impact of digital transformation capabilities—technological adaptation, strategic positioning, and competitive positioning—on perceived performance among 129 bank managers from 16 Jordanian commercial banks. Data were collected via a web-based survey that included a 29-item perceptual scale using a 5-point Likert scale. Multiple linear regression analysis revealed a significant positive relationship between these capabilities and perceived performance, explaining 68% of the variance. Specifically, technological adaptation (β = 0.310), strategic positioning (β = 0.260), and competitive positioning (β = 0.360) all significantly predicted perceived performance. Harman’s single-factor test indicated minimal common method bias, and strong positive correlations were found among all study variables. This research underscores the importance of a holistic digital transformation strategy for Jordanian banks, emphasizing the need for strategic investments in technology, competitive differentiation, and alignment with business objectives. Future research should explore additional factors such as organizational culture and regulatory frameworks and incorporate objective performance measures to provide a more comprehensive understanding of the impact of digital transformation. This study offers valuable insights for practitioners, policymakers, and researchers seeking to navigate digital disruption and foster business growth.

Introduction: The main study objective is to study the effects of applying business intelligence talent systems human resource performance through taking the mediating role workforce analytics and project decision making in SAP firm in German. The research conducted in SAP firm in is an IT consulting firm specialized in giving solutions based on BI and IT, this research designed and distributed a survey on biotech managerial and technical staffs and collected 219 valid questionnaires for data analysis process through the usage of structural equation modeling program method SEM.Methods: The research chose specific indicators for the independent and dependent variables as follows, for business intelligence talent system this research chose AI-driven HR tools adoption, HR data integration capabilities, Predictive analytics utilization, for HR performance the following indicators were chosen employee productivity levels, talent retention rate, and training effectiveness, for workforce variable this research chose real-time workforce monitoring, turnover prediction accuracy, and employee engagement analytics. And for the decision-making variable the indicators which have been chose are the speed of Project decision making, data-driven decision implementation rate, and accuracy of workforce forecasting.Results: The research arrived to the result that applying business intelligence talent system in human resource department has a positive and effective impact on enhancing human resource department and this effect enhanced through illustrate the role of workforce and project decision making effectiveness.Conclusions: This study has relied on previous research in the same field, which focused on understanding the importance of improving advanced human resources practices and enhancing employee satisfaction and the importance of the results of these studies in continuing to work in a complex communications sector while maintaining employee satisfaction and high performance that always leads to providing high-quality and efficient products and services to customers.

This study aimed to analyse the impact of macroeconomic variables, such as inflation, economic growth and financial soundness indicators, on net interest margin (NIM) in Jordanian commercial banks. The autoregressive distributed lag (ARDL) model was used to achieve the study’s objectives and test its hypothesis. The study found a long-term equilibrium relationship between these variables. Moreover, the results showed a significant long-term and short-term relationship between financial soundness indicators and NIM in Jordanian banks. While the deposit utilisation ratio, capital adequacy ratio and non-performing loan (NPL) ratio exhibited a positive relationship with NIM, the analysis revealed a negative relationship between the statutory liquidity ratio (SLR) and NIM. However, the analysis did not show any significant impact of inflation and economic growth on the margin in both the long and short term. This study recommends that Jordanian banks adopt transparency policies in disclosing information related to financial soundness, develop advanced credit risk assessment systems and establish a specialised unit to study, analyse and manage bank liquidity, credit policy and NPLs.