In today's competitive business environment, the implementation of Customer Relationship Management (CRM) strategies is essential for firms to succeed. The purpose of this study is to investigate the relationship between CRM, customer satisfaction, and business profitability in the Jordanian logistics industry. Specifically, the study examines how customer satisfaction mediates the effect of three key CRM on business profitability. To achieve this, Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to analyze data collected from 384 employees of logistics firms in Jordan. The results of the study suggest that CRM positively affects customer satisfaction, and that customer satisfaction has a significant mediating effect on the relationship between CRM and business profitability. The findings of this study have important implications for logistics firms seeking to improve their business profitability through the adoption of CRM. By focusing on the three key CRM (Customer Identification, Customer Acquisition, and Customer Analytics), firms can improve their customer satisfaction levels, which, in turn, can lead to improved business profitability. This study adds to the growing body of literature on CRM practices and their impact on business profitability, particularly in the context of the Jordanian logistics industry.

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 investigates the relationships between transformational leadership, empowerment, and employee creativity in the hotel sector in Jordan, examining the mediating role of empowerment. A quantitative cross-sectional survey was conducted with a stratified random sample of 300 employees from Jordanian hotels. Data was analyzed using Partial Least Squares Structural Equation Modeling. Findings reveal significant positive direct effects of inspirational motivation and individualized consideration on employee creativity. Empowerment partially mediates the relationships between all transformational leadership dimensions (idealized influence, inspirational motivation, intellectual stimulation, individualized consideration) and employee creativity, with individualized consideration exhibiting the strongest indirect effect. The study contributes empirical evidence on the mediating role of empowerment in the transformational leadership-creativity relationship, specifically in the hotel sector context. It offers insights for managers on adopting transformational leadership practices and fostering empowerment to promote employee creativity and innovation. This study uniquely examines the relationships between transformational leadership, empowerment, and employee creativity within the Jordanian hotel sector, providing a nuanced understanding of the differential effects of transformational leadership dimensions and the crucial role of empowerment.

The purpose of this paper is to investigate potential links between Blockchain technology (BCT) and big data analytics (BDA) with supply chain risk management (SCRM) and supply chain performance (SCP) in the Jordanian Chemical and Cosmetic Industries Sector. Additionally, the paper tests a conceptual model that links SCRM to indirect effects. To test our proposition, data were collected from 364 employees working in Jordanian Chemical and Cosmetic Industries Sector. The data were analyzed using structural equation modeling with aid of the Lavaan R package. The results show that the influences of blockchain technology and big data analytics on supply chain performance do occur directly, and indirectly through the cascading of a supply chain risk management.

This study aims to cast the light on the impact of lean manufacturing on performing Jordanian public shareholding industrial companies listed in ASE. Data were collected and developed through a questionnaire built on the basis of previous studies. The number of companies that answered the questionnaire questions was 38 companies out of 45 companies, which means that the percentage of the study sample reached 84.44% of the study community. The results showed that lean manufacturing has an impact on the performance in its three dimensions; namely operational, financial, and the environmental. The improvement of operational, financial and environmental performance, as a result of applying lean manufacturing method was optimized to 9.2%-11.8%. In fact, the pharmaceutical industries were the most sectors that apply the lean manufacturing method, followed by food industry companies and then chemicals companies, which were the lowest sector that applies lean manufacturing method.

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.