Leveraging Emotional Intelligence in AI-Driven HRM:Mitigating ‎Stress and Enhancing Work-Life Balance in The Service Industry

This endeavor enquires the execution of emotional intelligence (EI) in AI-driven Human ‎Resource Management (HRM) settings. The work installed a quantitative method, implementing ‎a correlation and regression study to investigate the relations between EI, work-life balance, and ‎stress standards. An investigation of 500 service business experts was carried out, and the ‎findings demonstrated that EI-combined AI-driven HRM organizations enhanced job ‎satisfaction and appointment (85% of participants) and moved towards greater standard decision-making (90% of participants). The outcomes express that EI significantly improves employee ‎skill, advances decision-making, and leads to better work-life balance. The outcomes also point ‎out an important optimistic association between EI standards and work-life balance (r = 0.42, p < ‎‎0.001) and a realistic to notable influential magnitude (Cohen's d = 0.65). This work's results ‎propose that prioritizing EI in AI-driven HRM can establish a better empathetic and responsive ‎work ambience, bringing advantages to both employees as well as establishments.