Emotional Intelligence and Digital Literacy in Relation to the Performance of Female Employees in the Private Sector
DOI:
https://doi.org/10.17509/csn90p09Keywords:
emotional intelligence, digital literacy, sigs, employee performanceAbstract
Digital transformation has changed workplace demands, requiring employees to possess both psychological and digital competencies to maintain effective job performance. This study examines the relationship between emotional intelligence, digital literacy, and the performance of women working in the private sector, within the context of Sustainable Development Goal 8 (SDG 8), which promotes decent work and economic growth. The study focuses on emotional intelligence as an individual's ability to recognize and regulate emotions and digital literacy as the ability to use digital technologies and information effectively and responsibly. A quantitative approach was employed, using primary data collected through questionnaires from 125 women working in the private sector. The data were analyzed using multiple linear regression with Stata software. The results indicate that emotional intelligence has a positive and significant relationship with employee performance, with a regression coefficient of 0.1996164 and a p-value of 0.037. Digital literacy also demonstrates a positive and significant relationship with performance, with a regression coefficient of 0.4981474 and a p-value of less than 0.001. Furthermore, the overall regression model is statistically significant (Prob > F = 0.0000). These findings highlight the importance of developing emotional and digital competencies to support women's workplace performance. The study contributes to human resource management research and provides practical insights for organizations designing employee development programs. The findings are relevant to SDG 8, although the achievement of this goal was not directly measured.
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References
Abbasi, M., Monazzam, M. R., & Arabalibeik, H. (2022). Identifying and weighting of dimensions and indicators of individual job performance using fuzzy Delphi and fuzzy analytic hierarchy process techniques. *International Journal of Workplace Health Management, 15*(1), 99–112. https://doi.org/10.1108/IJWHM-04-2020-0065
Badan Pusat Statistik. (2025). *Statistik telekomunikasi Indonesia 2024*. https://www.bps.go.id/id/publication/2025/08/29/beaa2be400eda6ce6c636ef8/telecommunication-statistics-in-indonesia-2024.html
Chan, A. J., & Hooi, L. W. (2021). Do digital literacies matter in employee engagement in digitalised workplace? *Journal of Asia Business Studies, 15*(3), 523–540. https://doi.org/10.1108/JABS-08-2020-0318
Chigbu, B. I., & Nekhwevha, F. (2023). Exploring the concepts of decent work through the lens of SDG 8: Addressing challenges and inadequacies. *Frontiers in Sociology, 8*, Article 1266141. https://doi.org/10.3389/fsoc.2023.1266141
Chong, Y. K., & Zainal, S. R. M. (2024). Employee agility’s mediating role on the link between employee vitality, digital literacy and transformational leadership with job performance: An empirical study. *Cogent Business & Management, 11*(1), Article 2337447. https://doi.org/10.1080/23311975.2024.2337447
Do emotionally intelligent female employees perform better on the job? A serial mediation model. (2022). *Journal of Organizational Effectiveness: People and Performance, 9*(1), 89–109. https://doi.org/10.1108/JOEPP-12-2020-0238
Doğru, Ç. (2022). A meta-analysis of the relationships between emotional intelligence and employee outcomes. *Frontiers in Psychology, 13*, Article 611348. https://doi.org/10.3389/fpsyg.2022.611348
Dong, B., Peng, X., & Jiang, N. (2022). Exploring the domain of emotional intelligence in organizations: Bibliometrics, content analyses, framework development, and research agenda. *Frontiers in Psychology, 13*, Article 810507. https://doi.org/10.3389/fpsyg.2022.810507
Grobelny, J., Radke, P., & Paniotova-Maczka, D. (2021). Emotional intelligence and job performance: A meta-analysis. *International Journal of Work Organisation and Emotion, 12*(1), 1–47. https://doi.org/10.1504/IJWOE.2021.115620
Krijgsheld, M., Tummers, L. G., & Scheepers, F. E. (2022). Job performance in healthcare: A systematic review. *BMC Health Services Research, 22*, Article 149. https://doi.org/10.1186/s12913-021-07357-5
Koopmans, L., Bernaards, C., Hildebrandt, V., van Buuren, S., van der Beek, A. J., & de Vet, H. C. W. (2013). Development of an individual work performance questionnaire. *International Journal of Productivity and Performance Management, 62*(1), 6–28. https://doi.org/10.1108/17410401311285273
Mayer, J. D., Salovey, P., & Caruso, D. R. (2004). Emotional intelligence: Theory, findings, and implications. *Psychological Inquiry, 15*(3), 197–215. https://doi.org/10.1207/S15327965PLI1503_02
Nikou, S., De Reuver, M., & Kanafi, M. M. (2022). Workplace literacy skills—How information and digital literacy affect adoption of digital technology. *Journal of Documentation, 78*(7), 371–391. https://doi.org/10.1108/JD-12-2021-0241
Nuraini, A., Chaniago, H., & Efawati, Y. (2024). Digital behavior and impact on employee performance: Evidence from Indonesia. *Journal of Technology Management & Innovation, 19*(3), 15–27. https://doi.org/10.4067/S0718-27242024000300015
Patnaik, S. (2020). Operationalizing employee performance: A literature review. *Training & Development Journal, 11*(2), 45–56. https://doi.org/10.5958/2231-069X.2020.00006.2
Putra, I., Syahrul, L., & Yulihasri. (2023). The effect of digital literacy and transformational leadership on employee performance mediated by innovative work behavior at the Padang City Population and Civil Registration Service. *Enrichment: Journal of Management, 12*(6), 5014–5022. https://doi.org/10.35335/enrichment.v12i6.1124
Rathnaweera, R. R. N. T., & Jayatilake, L. V. K. (2020). Construct of employee job performance: Conceptual discussion on definitions and dimensions. *Sahyadri Journal of Management, 4*(2), 1–19. http://ir.lib.ruh.ac.lk/xmlui/handle/16453
United Nations. (n.d.). *Goal 8: Decent work and economic growth*. https://sdgs.un.org/goals/goal8
Vuorikari, R., Kluzer, S., & Punie, Y. (2022). *DigComp 2.2: The digital competence framework for citizens—with new examples of knowledge, skills and attitudes*. Publications Office of the European Union. https://doi.org/10.2760/115376
Wooldridge, J. M. (2016). *Introductory econometrics: A modern approach* (6th ed.). Cengage Learning.
