Issue #2 (Volume 23 2025)

Flexible work arrangements (FWAs) have become a cornerstone of modern organizational practices, offering solutions to enhance employee engagement and adapt to evolving workplace demands. The purpose of this study is to examine the impact of flexible work arrangements on job engagement, focusing on how dimensions such as workload flexibility, workplace flexibility, and flexible working hours influence employee vigor, dedication, and absorption within the Egyptian telecommunications sector. A descriptive-analytical approach was adopted, and data were collected through a structured questionnaire distributed to 300 employees across different departments in the Egyptian Telecom Company. Statistical analyses, including correlation and regression, were employed to test the relationships between the variables. The findings reveal that FWAs significantly enhance job engagement, explaining 62% of the variance in engagement levels. Flexibility in workload emerged as the strongest predictor (β = 0.28), followed by flexible workplace (β = 0.25) and flexible working hours (β = 0.22). Flexible workplace and working hours also had substantial impacts, reflecting the importance of spatial and temporal flexibility in addressing employee needs. While flexible working procedures contributed positively, their influence was comparatively lower, indicating the operational constraints of the telecommunications sector. The results underscore the practical value of FWAs in enhancing workforce motivation and organizational performance. By strategically implementing tailored FWA policies, organizations in dynamic sectors like telecommunications can foster a more engaged and adaptable workforce, ensuring resilience and competitiveness in a rapidly changing environment.

Acknowledgment
The authors are thankful to the Deanship of Graduate Studies and Scientific Research at University of Bisha for supporting this work through the Fast-Track Research Support Program.

This study investigates the mediating and moderating roles of data analytics and business intelligence in the relationship between e-HRM practices and job satisfaction in Jordanian SMEs. The data were obtained from a survey of 368 employees through questionnaires; the data were analyzed via SPSS and PROCESS Macro v3.5. The results show that e-HRM practices, such as e-recruiting, e-training, e-compensation, and e-performance, have a high and significant positive impact on job satisfaction (R² = 0.93, F = 1221.14, β = 0.613, p = 0.01). More precisely, concerning the dimensions of e-HRM, both e-training (β = 0.356, p < 0.001) and e-performance (β = 0.072, p = 0.02) were positively related to job satisfaction, while e-compensation had no statistical effect. Data analytics mediated this relationship positively by increasing its impact by 0.33 and contributing to an R² of 0.875 (p < 0.01). Furthermore, data analytics had a direct influence on job satisfaction (R² = 0.48, F = 333.93, β = 0.691, p < 0.001). Business intelligence moderated e-HRM-job satisfaction relationships through the amplification of its effect by 0.40 and had an indirect R² of 0.875 (p < 0.01). These results have presented the critical roles that data analytics and business intelligence play in the optimization of HR practices and employee satisfaction. The study has shown the need for Jordanian SMEs to adopt these technologies to enhance their HR capabilities and workforce engagement.