Cultural Intelligence, Leadership Style, Personality Traits, and Job Satisfaction as Determinants of Employee Productivity

Employee productivity is a critical determinant of effectiveness in government institutions, particularly in revenue-generating agencies where efficiency and service quality directly influence public trust. This study examined cultural intelligence, leadership style, personality traits, and job satisfaction as determinants of employee productivity among employees of selected Revenue District Offices of the Bureau of Internal Revenue (BIR) in Northern Mindanao. A quantitative descriptive–correlational research design was employed. Data were collected from 509 employees using validated survey instruments. Descriptive statistics and Pearson product–moment correlation were used to analyze the data. The findings revealed high levels of cultural intelligence, leadership style, personality traits, job satisfaction, and employee productivity among respondents. The results further indicated significant positive relationships between employee productivity and cultural intelligence, leadership style, personality traits, and job satisfaction. Among the variables examined, personality traits and job satisfaction demonstrated relatively stronger relationships with productivity. These findings highlight the importance of both individual attributes and organizational factors in enhancing employee productivity in public sector institutions. The study provides empirical insights that may inform leadership development programs and human resource policies aimed at strengthening employee performance in government organizations.

Employee productivity, cultural intelligence, leadership style, personality traits

1. Ang, S., Van Dyne, L., & Rockstuhl, T. (2015). Cultural intelligence: Origins, conceptualization, evolution, and methodological diversity. In M. J. Gelfand, C. Y. Chiu, & Y. Y. Hong (Eds.), Handbook of advances in culture and psychology (Vol. 5, pp. 273–323). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780190218966.003.0006 [Google Scholar] [Crossref]

2. Earley, P. C., & Ang, S. (2003). Cultural intelligence: Individual interactions across cultures. Stanford University Press. [Google Scholar] [Crossref]

3. Gallup. (2023). State of the global workplace 2023 report. Gallup Press. https://www.gallup.com/workplace/349484/state-of-the-global-workplace.aspx [Google Scholar] [Crossref]

4. Goswami, S., & Rangnekar, S. (2020). The relationship between job satisfaction and employee performance: A meta-analysis. Management Research Review, 43(10), 1203–1225. https://doi.org/10.1108/MRR-06-2019-0265 [Google Scholar] [Crossref]

5. Judge, T. A., Rodell, J. B., Klinger, R. L., Simon, L. S., & Crawford, E. R. (2019). Hierarchical representations of the five-factor model of personality in predicting job performance: Integrating three organizing frameworks. Journal of Applied Psychology, 104(3), 364–386. https://doi.org/10.1037/apl0000356 [Google Scholar] [Crossref]

6. Kim, M., & Beehr, T. A. (2020). The power of empowering leadership: Allowing and encouraging followers to take charge of their own jobs. The Leadership Quarterly, 31(4), 101110. https://doi.org/10.1016/j.leaqua.2019.101110 [Google Scholar] [Crossref]

7. Kim, S., Im, J., & Hwang, J. (2021). The relationship between job satisfaction and employee performance: The moderating role of organizational culture. Sustainability, 13(7), 3671. https://doi.org/10.3390/su13073671 [Google Scholar] [Crossref]

8. Northouse, P. G. (2019). Leadership: Theory and practice (8th ed.). SAGE Publications. [Google Scholar] [Crossref]

9. Rockstuhl, T., & Van Dyne, L. (2018). A bi-factor theory of the four-factor model of cultural intelligence: Meta-analysis and theoretical extensions. Organizational Behavior and Human Decision Processes, 148, 124–144. https://doi.org/10.1016/j.obhdp.2018.07.005 [Google Scholar] [Crossref]

10. Salgado, J. F. (2017). Moderator effects of job complexity on the validity of forced-choice personality inventories for predicting job performance. Journal of Applied Psychology, 102(5), 733–747. https://doi.org/10.1037/apl0000187 [Google Scholar] [Crossref]

11. Van Eerde, W., & Thierry, H. (2019). Vroom’s expectancy models and work-related criteria: A meta-analysis. Journal of Applied Psychology, 104(3), 358–378. https://doi.org/10.1037/apl0000356 [Google Scholar] [Crossref]

12. Vroom, V. H. (1964). Work and motivation. Wiley. [Google Scholar] [Crossref]

13. Yari, A., et al. (2020). The impact of transformational leadership on employee engagement and performance. Journal of Leadership Studies, 14(2), 45–58. https://doi.org/10.1002/jls.21675 [Google Scholar] [Crossref]

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