The research paper investigates the relationship between financial technology (FinTech) adoption, financial satisfaction, and financial performance among consumers in Jordan. The study uses Partial Least Squares-Structural Equation Modeling (PLS-SEM) to analyze data collected from a sample of 500 SMEs in Jordan. The results of the study suggest that FinTech adoption positively affects financial performance, while financial satisfaction mediates the relationship between FinTech adoption and financial performance. The study also found that financial satisfaction has a significant impact on financial performance, suggesting that customers who are satisfied with their financial situation are more likely to achieve better financial performance. In conclusion, the study provides valuable insights into the role of financial satisfaction as a mediator in the relationship between FinTech adoption and financial performance, highlighting the importance of understanding the factors that influence customer satisfaction and the adoption of FinTech services in the financial industry. These findings have implications for financial service providers and policymakers in Jordan, as well as in other countries with similar economic and social conditions, where the adoption of FinTech is rapidly increasing.

The research investigated the relationship among Key Performance Indicators (KPIs), risk assessment capabilities and value creation in service sector firms. The study also sought to examine the effect of KPI`s components on risk assessment & value capitalisation, and how they either facilitate or hinder implementation, monitoring and continuous improvement processes. In this context, a quantitative cross-sectional research design was applied using an online survey of shared middle and senior managers in service organizations. After filtering, the final version of segmented sample included a total of 215 respondents engaged in different service businesses. The analysis was determined using Partial Least Squares Structural Equation Modeling. The results showed that all components of KPIs have significant positive relationships with risk assessment and value improvement outcomes First, performance drivers were found to be the most significant predictor of both constructs. As such, the results show that both risk assessment and value improvement had a positive effect on implementation/monitoring processes which in turn enabled continuous improvements. Performance measurement, risk management and value creation in service organizations: A performance at-risk-based conceptual model. The results have numerous managerial, practical and policy implications for the service sector. This drives home the necessity of creating integrated KPI systems that include risk assessment and value improvement factors. In building on existing theory, the study is of substantial interest in that it provides empirical evidence for these organizational mechanisms related to service organizations. Resilient Organizations in the Service Sector picture of Resilience across Performance Management with KPIs, Risk Assessment and Value Creation strategies offering a comprehensive foundation for sustainable organizational success.