Career Prospects, Agricultural Technology, and Social Context as Drivers of Young People’s Agricultural Career Intentions: A TPB–SCCT-Informed Model
Abstract:
Purpose: This study develops and empirically evaluates a parsimonious model of young people’s intention to pursue agricultural careers. Drawing on the theory of planned behavior and social cognitive career theory, it examines how career prospects, technology and innovation, social image, and perceived barriers shape attitudes, and how attitude and family and social support predict career intention.
Design/methodology/approach: Data were collected through a structured survey of 407 young adults aged 19–30 in Hanoi, Vietnam. Seven reflective constructs were measured using 28 five-point Likert items. The model was assessed using partial least squares structural equation modeling, 5,000-subsample bootstrapping, PLSpredict, and the cross-validated predictive ability test.
Findings: Career prospects had the strongest positive effect on attitude (β = .489, p < .001), followed by technology and innovation (β = .339, p < .001). Perceived career barriers had a small negative effect (β = −.111, p = .002), while the social-image effect was not robust. Family and social support positively predicted career intention (β = .172, p < .001), whereas attitude was its strongest predictor (β = .569, p < .001). The model explained 47.8% of the variance in attitude and 39.7% in career intention and demonstrated satisfactory out-of-sample predictive performance.
Originality/value: The study distinguishes economic prospects, technological modernization, occupational image, barriers, and social support rather than treating agricultural career attractiveness as a single perception. It integrates TPB and SCCT within a parsimonious attitude–intention model and provides empirical evidence on the principal drivers of young people’s agricultural career intentions in Vietnam.
KeyWords:
young people, agricultural careers, career intention, attitude, agricultural technology, social support, PLS-SEM, Vietnam
References:
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
- Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
- Bezu, S., & Holden, S. (2014). Are rural youth in Ethiopia abandoning agriculture? World Development, 64, 259–272. https://doi.org/10.1016/j.worlddev.2014.06.013
- Campi, M., Asai, M., McFadden, J., Pindado, E., & Rosburg, A. (2024). The evolving profile of new entrants in agriculture and the role of digital technologies (OECD Food, Agriculture and Fisheries Papers No. 209). OECD Publishing. https://doi.org/10.1787/d15ea067-en
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
- Consentino, F., Vindigni, G., Spina, D., Monaco, C., & Peri, I. (2023). An agricultural career through the lens of young people. Sustainability, 15(14), Article 11148. https://doi.org/10.3390/su151411148
- Cunningham, W., & Pimhidzai, O. (2018). Vietnam’s future jobs: Leveraging mega-trends for greater prosperity (Main report). World Bank. http://hdl.handle.net/10986/31016
- De Guzman, L., Sullivan, M., & McDonald, N. (2025). Cultivating careers in agriculture: Exploring the life experiences, career motivations, and vocational identity of young Australians. Australian Journal of Career Development, 34(1), 81–93. https://doi.org/10.1177/10384162251326167
- Ferry, T. R., Fouad, N. A., & Smith, P. L. (2000). The role of family context in a social cognitive model for career-related choice behavior: A math and science perspective. Journal of Vocational Behavior, 57(3), 348–364. https://doi.org/10.1006/jvbe.1999.1743
- Food and Agriculture Organization of the United Nations. (2025). The status of youth in agrifood systems. https://doi.org/10.4060/cd5886en
- Geza, W., Ngidi, M., Ojo, T., Adetoro, A. A., Slotow, R., & Mabhaudhi, T. (2021). Youth participation in agriculture: A scoping review. Sustainability, 13(16), Article 9120. https://doi.org/10.3390/su13169120
- Geza, W., Ngidi, M. S. C., Slotow, R., & Mabhaudhi, T. (2022). The dynamics of youth employment and empowerment in agriculture and rural development in South Africa: A scoping review. Sustainability, 14(9), Article 5041. https://doi.org/10.3390/su14095041
- Gottfredson, L. S. (1981). Circumscription and compromise: A developmental theory of occupational aspirations. Journal of Counseling Psychology, 28(6), 545–579. https://doi.org/10.1037/0022-0167.28.6.545
- Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
- Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and Agriculture 4.0: New contributions and a future research agenda. NJAS - Wageningen Journal of Life Sciences, 90–91, Article 100315. https://doi.org/10.1016/j.njas.2019.100315
- Leavy, J., & Hossain, N. (2014). Who wants to farm? Youth aspirations, opportunities and rising food prices (IDS Working Paper No. 439). Institute of Development Studies. https://doi.org/10.1111/j.2040-0209.2014.00439.x
- 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
- Lent, R. W., Brown, S. D., & Hackett, G. (2000). Contextual supports and barriers to career choice: A social cognitive analysis. Journal of Counseling Psychology, 47(1), 36–49. https://doi.org/10.1037/0022-0167.47.1.36
- Liengaard, B. D., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2021). Prediction: Coveted, yet forsaken? Introducing a cross-validated predictive ability test in partial least squares path modeling. Decision Sciences, 52(2), 362–392. https://doi.org/10.1111/deci.12445
- National Assembly of Vietnam. (2020, June 16). Luật Thanh niên (Luật số 57/2020/QH14) [Law on Youth (Law No. 57/2020/QH14)]. https://vanban.chinhphu.vn/?classid=1&docid=200445&pageid=27160&typegroupid=3
- Nitzl, C., Roldán, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management & Data Systems, 116(9), 1849–1864. https://doi.org/10.1108/IMDS-07-2015-0302
- Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
- Prime Minister of Vietnam. (2022, January 28). Quyết định số 150/QĐ-TTg phê duyệt Chiến lược phát triển nông nghiệp và nông thôn bền vững giai đoạn 2021–2030, tầm nhìn đến năm 2050 [Decision No. 150/QĐ-TTg approving the strategy for sustainable agriculture and rural development for 2021–2030, with a vision to 2050].
- https://vanban.chinhphu.vn/?docid=205277&pageid=27160&tagid=6&type=1
- Ringle, C. M., Wende, S., & Becker, J.-M. (2024). SmartPLS 4 [Computer software]. SmartPLS. https://www.smartpls.com
- Rose, D. C., & Chilvers, J. (2018). Agriculture 4.0: Broadening responsible innovation in an era of smart farming. Frontiers in Sustainable Food Systems, 2, Article 87. https://doi.org/10.3389/fsufs.2018.00087
- Sawitri, D. R., Creed, P. A., & Zimmer-Gembeck, M. J. (2015). Longitudinal relations of parental influences and adolescent career aspirations and actions in a collectivist society. Journal of Research on Adolescence, 25(3), 551–563. https://doi.org/10.1111/jora.12145
- Sharma, P. N., Liengaard, B. D., Hair, J. F., Sarstedt, M., & Ringle, C. M. (2023). Predictive model assessment and selection in composite-based modeling using PLS-SEM: Extensions and guidelines for using CVPAT. European Journal of Marketing, 57(6), 1662–1677. https://doi.org/10.1108/EJM-08-2020-0636
- Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
- Sumberg, J., Yeboah, T., Flynn, J., & Anyidoho, N. A. (2017). Young people’s perspectives on farming in Ghana: A Q study. Food Security, 9(1), 151–161. https://doi.org/10.1007/s12571-016-0646-y
- Tadele, G., & Gella, A. A. (2012). “A last resort and often not an option at all”: Farming and young people in Ethiopia. IDS Bulletin, 43(6), 33–43. https://doi.org/10.1111/j.1759-5436.2012.00377.x
- Turner, L. R., & Hawkins, C. (2014). Revised expected outcomes: Essential for attracting Tasmanian students to careers in agricultural science. Australian Journal of Career Development, 23(2), 88–95. https://doi.org/10.1177/1038416214527737
- Unay-Gailhard, İ., & Brennen, M. A. (2022). How digital communications contribute to shaping the career paths of youth: A review study focused on farming as a career option. Agriculture and Human Values, 39(4), 1491–1508. https://doi.org/10.1007/s10460-022-10335-0
- White, B. (2012). Agriculture and the generation problem: Rural youth, employment and the future of farming. IDS Bulletin, 43(6), 9–19. https://doi.org/10.1111/j.1759-5436.2012.00375.x
- World Bank. (2016). Transforming Vietnamese agriculture: Gaining more from less (Vietnam Development Report 2016). http://hdl.handle.net/10986/24375
- Zaremohzzabieh, Z., Krauss, S. E., D’Silva, J. L., Tiraieyari, N., Ismail, I. A., & Dahalan, D. (2022). Towards agriculture as career: Predicting students’ participation in the agricultural sector using an extended model of the theory of planned behavior. The Journal of Agricultural Education and Extension, 28(1), 67–92. https://doi.org/10.1080/1389224X.2021.1910523