Future Orientation and Learning Motivation as Predictors of Career Transition Intentions among Overseas Filipino Workers in Saudi Arabia
DOI:
https://doi.org/10.5281/zenodo.19843288Keywords:
Career Adaptability, Career Transition Intentions, Future Orientation, Learning Motivation, Migrant Workers, Occupational Change, Overseas Filipino Workers, Saudi Arabia, Workforce Mobility, Lifelong LearningAbstract
This study investigates the predictive roles of future orientation and learning motivation on career transition intentions among Overseas Filipino Workers in Saudi Arabia. OFWs often face shifting labor conditions and uncertain long-term career pathways, making psychological factors important in understanding their career planning and mobility decisions. These challenges highlight the need to examine internal drivers that influence how migrant workers respond to changing work environments and evolving economic demands as the dynamic nature of overseas employment requires workers to continuously reassess their goals and adapt to new opportunities and constraints. A quantitative, cross-sectional design was used, with survey data collected from OFWs across selected occupational sectors. Standardized measures assessed future orientation, learning motivation, and career transition intentions. Data were analyzed using descriptive statistics, correlation analysis, and multiple regression to determine predictive relationships among variables. Results show that both future orientation and learning motivation significantly predict career transition intentions. Learning motivation was the stronger predictor, suggesting that OFWs who actively seek new knowledge and skills are more likely to consider changing careers or exploring new job opportunities. This emphasizes to the importance of continuous skill development in helping workers adapt to uncertain and changing work conditions. Future orientation also had a positive effect, indicating that OFWs with clearer long-term goals are more likely to plan and consider career transitions. Overall, the findings highlight that both planning for the future and ongoing learning play key roles in shaping career decisions. The study suggests that improving access to upskilling and career development programs can help OFWs make more informed and flexible career choices, leading to better long-term employment outcomes and stability.
References
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
Blau, P. M. (1964). Exchange and power in social life. Wiley.
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
Ginzberg, E. (1984). Career development. In D. Brown & L. Brooks (Eds.), Career choice and development (pp. 169–191). Jossey-Bass.S
Ginevra, M. C., Nota, L., & Ferrari, L. (2016). Career adaptability, future orientation, and hope as predictors of career decision-making difficulties. Journal of Vocational Behavior, 94, 7–16. https://doi.org/10.1016/j.jvb.2016.02.001
Hirschi, A. (2012). The career resources model: An integrative framework for career counsellors. Journal of Vocational Behavior, 80(2), 255–259. https://doi.org/10.1016/j.jvb.2011.08.003
International Labour Organization. (2023). World employment and social outlook: Trends 2023. ILO.
Krumboltz, J. D. (2009). The happenstance learning theory. Career Development Quarterly, 55(2), 135–138.
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79–122. https://doi.org/10.1006/jvbe.1994.1027
London, M. (1983). Toward a theory of career motivation. Academy of Management Review.
Markus, H., & Nurius, P. (1986). Possible selves. American Psychologist, 41(9), 954–969. https://doi.org/10.1037/0003-066X.41.9.954
Noe, R. A. (1986). Trainees’ attributes and attitudes: Neglected influences on training effectiveness. Academy of Management Review, 11(4), 736–749. https://doi.org/10.5465/amr.1986.4283902
OECD. (2023). OECD skills outlook 2023: Skills for a resilient green and digital transition. OECD Publishing.
Rottinghaus, P. J., Day, S. X., & Borgen, F. H. (2005). The career futures inventory: A measure of career-related adaptability and optimism. Journal of Career Assessment, 13(2), 123–139. https://doi.org/10.1177/1069072704273120
Savickas, M. L. (2005). The theory and practice of career construction. In S. D. Brown & R. W. Lent (Eds.), Career development and counseling (pp. 42–70). Wiley.
Savickas, M. L., & Porfeli, E. J. (2012). Career Adapt-Abilities Scale: Construction, reliability, and measurement equivalence. Journal of Vocational Behavior, 80(3), 661–673. https://doi.org/10.1016/j.jvb.2012.01.011
Seginer, R. (2009). Future orientation: Developmental and ecological perspectives. Springer.
Super, D. E. (1990). A life-span, life-space approach to career development. In D. Brown, L. Brooks, & Associates (Eds.), Career choice and development (pp. 197–261). Jossey-Bass.
Vroom, V. H. (1964). Work and motivation. Wiley.
World Bank. (2023). Migration and development brief 39: Remittances remain resilient but likely to slow. World Bank.
Zhang, Y., & Huang, X. (2021). Learning motivation and employability in changing labor markets: A review. Journal of Vocational Education Research, 46(2), 155–172.
