Examining the Impact of Emotional Intelligence on Employee Well-Being and Employee Engagement in the Digital Era
DOI:
https://doi.org/10.61814/jkahs.v6i1.797Keywords:
Digital Era, Emotional Intelligence, Employee Engagement, Employee Well-BeingAbstract
Introduction: Employee Well-Being (EWB) and Employee Engagement (EE) are crucial for a healthy workplace,
but concern about Well-Being (WB) and EE are still prevalent. Emotional intelligence (EI) can help regulate and
recognize emotions, and this study examines its impact on EWB and EE in the Digital Era (DE), considering sociodemographic factors.
Methods: This study used a self-administered survey to gather the data and combined a quantitative method with
a descriptive cross-sectional research design. The study made use of a variety of tools, including the employee
engagement scale (EES), which was used to assess EE, the emotional intelligence scale (EIS), which was used to
measure EI, and the functional well-being score from the World Health Organization (WHO), which was used to
measure EWB. All the tools used in the study have been validated and are reliable, as determined by Cronbach’s
alpha and other statistical analyses
Results: The emotional intelligence (EI) significantly impacts employee well-being (EWB) and employee engagement (EE). H1 was accepted through Pearson correlation (P > 0.005, R = 0.065, R² = 0.004, and adjusted R² = 0.001), while H2 was supported by regression analysis (P >0.005, R = 0.717, R² = 0.514, and adjusted R² = 0.512). These findings highlight that EI is a predictor of EWB and EE, as well as a factor associated with years of work experience.
Conclusion: The EI plays a crucial role in determining EWB and EE and the association between EI and years of work experience. These results imply that developing andenhancing EI competencies could positively impact EWB and EE, thereby improving job satisfaction and organizational outcomes. However, the study's limitations include a small sample size and a cross-sectional design, which limits the generalizability of the findings.
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