Antecedents Of Port Employees’ Intention To Stay: A Binary Logistics Analysis
Janissa T. Ibrahim | Cyril C. Chavez
Discipline: human resource management
Abstract:
Employee retention is a critical concern for
public sector organizations like the Philippine
Ports Authority (PPA), which plays a strategic
role in the country’s logistics and economic
infrastructure. This study investigated how
work-life balance, organizational support, and
job security influence employees’ intention to
stay. Data were gathered from 173 regular and
contract employees working at a government
port in Northern Mindanao through a validated
and reliable survey questionnaire that measured
perceptions of the three independent variables
and retention intentions. Descriptive statistics, including means and standard
deviations, were used to assess the participants’ ratings across variables, all of
which were rated as high in work-life balance, supervisor support, and job
security. Binary logistic regression analysis was employed to determine the
predictive strength of each factor, revealing that supervisor support was a
significant predictor of employees’ intention to stay. Neither work-life balance
nor job security had a statistically significant influence on retention. These
findings highlight the pivotal role of immediate supervisors in shaping employee decisions to remain, emphasizing that leadership support can outweigh even
broader structural factors in employee retention. This study contributes to the
understanding of human resource dynamics in public institutions and aligns
with Sustainable Development Goal (SDG 8)—Decent Work and Economic
Growth. This is essential for building resilient infrastructure (SDG 9).Further
research is recommended to explore other organizational factors such as career
advancement, employee engagement, and workplace culture to develop more
comprehensive retention strategies.
References:
- Anderson, D., & Kelliher, C. (2010). Flexible working and engagement: The importance of choice. Strategic HR Review, 9(2), 13–18.
- Bessa, M. (2020). Impactos da Covid-19: a saúde e a “saúde” do continente Africano.
- DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). Sage Publications.
- Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986). Perceived organizational support. Journal of Applied psychology, 71(3), 500.
- Field, A. (2020). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage Publications.
- Gordon, S., Adler, H., Day, J., & Sydnord, S. (2019). Perceived supervisor support: A study of select-service hotel employees. Journal of Hospitality and Tourism Management, 38, 82-90.
- Haar, J. M., Russo, M., Suñe, A., & Ollier-Malaterre, A. (2022). Outcomes of work-life balance on job satisfaction, life satisfaction and mental health: A study across seven cultures. Journal of Vocational Behavior, 121, 103464.
- Hosmer, D. W., & Lemeshow, S. (2000). Applied logistic regression (2nd ed.). Wiley-Interscience.
- Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (3rd ed.).
- Huang, T., Lu, J., & Chiu, Y. (2021). The mediating effects of organizational culture and supervisor support on work-life balance and turnover intention. International Journal of Human Resource Management, 32(4), 763–784.
- Iqbal, S., Hongyun, T., Akhtar, S., Ahmad, U., & Ankomah, F. N. (2020). Impacts of supervisor support on turnover intentions: Mediating role of job satisfaction. Asian Journal of Education and Social Studies, 6(3), 1-9.
- Kakar, A., Kakar, H., & Aman-Ullah, A. (2022). The influence of work-life balance on turnover intentions. Journal of Business Research, 134, 412-421.
- Kelliher, C., & Anderson, D. (2020). Doing more with less? Flexible working practices and the intensification of work. Human Relations, 73(1), 104–126.
- Kim, H., & Fernandez, S. (2021). Leadership trust and employee retention: The mediating role of organizational support. Public Personnel Management, 50(1), 3–23.
- Kuvaas, B., Buch, R., & Dysvik, A. (2020). Individual variable pay for performance, controlling effects, and intrinsic motivation. Motivation and Emotion, 44(4), 525-533.
- Lestari, I., & Margarethaa, V. (2021). Work-life balance as a predictor of employee turnover intentions. Journal of Applied Management, 19(2), 210-222.
- Lu, L., Cooper, C. L., & Lin, H. Y. (2020). A cross-cultural examination of work- life balance and employee well-being. Journal of Organizational Behavior, 41(5), 445–460. https://doi.org/10.1002/job.2441
- Miranda, F. B. (2015). Political leadership and public sector employment stability. Philippine Political Science Journal, 36(1), 1–15.
- Nagelkerke, N. J. (1991). A note on a general definition of the coefficient of determination. Biometrika, 78(3), 691–692.
- Noor, N. M., Hassan, R., & Rahman, A. A. (2022). The role of random sampling in improving the validity and generalizability of research findings. Journal of Research Methodology, 18(2), 101–115.
- Shoss, M. K. (2017). Job insecurity: An integrative review and agenda for future research. Journal of Management, 43(6), 1911–1939.
- Sora, B., González, P., & Trujillo, C. (2021). The effects of job insecurity on turnover intentions: The role of perceived organizational justice. Frontiers in Psychology.
- Tiwari, S., Sharma, A., & Bansal, S. (2019). Impact of work-life balance on employees turnover intention: A study in public sector organizations. International Journal of Human Resource Management, 30(4), 625–640.
Full Text:
Note: Kindly Login or Register to gain access to this article.
ISSN 2244-0445 (Online)
ISSN 2012-3981 (Print)