Citation:

Van Huy Trinh, Hanh Nguyen Hoang, Thu Hanh Huong Nguyen, Thanh Nhat Hoang, Van Hieu Vu. "Factors Affecting Hanoi Students’ Decision to Choose University to Study Information Technology Major" International Research Journal of Economics and Management Studies, Vol. 3, No. 9, pp. 332-343, 2024.

Abstract:

This study explores the factors influencing Hanoi high school students’ decisions to choose a university to study Information Technology (IT) amidst the rapidly growing IT industry, especially following the 4.0 industrial revolution. The study employs quantitative methods, analyzing a sample of 241 students currently enrolled in IT programs across Hanoi. Key findings reveal that factors such as tuition fees, family recommendations, alumni influence, and university reputation significantly impact students’ intentions and decisions. Interestingly, while university reputation positively influences students’ intentions, it does not necessarily lead to their final decision to enrol. In contrast, financial considerations and advice from trusted sources play a more pivotal role. Additionally, the study finds that gender and admission scores do not significantly affect the decision-making process for these students. The results offer practical insights for universities to refine their recruitment and marketing strategies, ensuring they align with the real-world factors that influence student choice. By understanding these dynamics, universities can better attract and retain students in IT programs, thereby meeting the growing demands of the IT sector.

References:

[1] Ajzen, I. J. O. B., & Processes, H. D. (1991). The Theory of Planned Behavior.
[2] Ashworth, R. P. (2020). The Influence of Peers and Advisors on College Choice Decisions: A New Perspective. Journal of Higher Education Research.
[3] Ayeh, J. K., Bondzi-Simpson, A., Baah, N. G. J. J. o. H., & Education, T. (2023). Predicting students’ response to entrepreneurship in hospitality and tourism education: An application of the theory of planned behavior. 35(3), 265-276.
[4] Chapman, D. W. J. T. J. o. H. E. (1981). A model of student college choice. 52(5), 490-505.
[5] Dash, G., Paul, J. J. T. F., & Change, S. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. 173, 121092.
[6] Dill, D. D., & Soo, M. J. H. e. (2005). Academic quality, league tables, and public policy: A cross-national analysis of university ranking systems. 49, 495-533.
[7] Fornell, C., & Larcker, D. F. J. J. o. m. r. (1981). Evaluating structural equation models with unobservable variables and measurement error. 18(1), 39-50.
[8] Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. J. E. b. r. (2019). When to use and how to report the results of PLS-SEM. 31(1), 2-24.
[9] Henseler, J., & Sarstedt, M. J. C. s. (2013). Goodness-of-fit indices for partial least squares path modeling. 28, 565-580.
[10] Hidayat, R., & Sinuhaji, E. J. A. o. S. M. J. (2018). Factors that Affect Students Decision to Choose Private Universities in Medan City Indonesia. 17(6), 1-8.
[11] Hossler, D., & Gallagher, K. (1987). Studying student college choice: A three-phase model and the implications for policymakers (EJ354226). ERIC.
[12] Hossler, D., & Vesper, N. (1999). Going to college: How social, economic, and educational factors influence the decisions students make: JHU Press.
[13] Imari, I., Wardana, E., Mintarti, S., & Haryono, A. J. M. S. L. (2020). The effect of attitude, subjective norm and perceived behavioral control on students’ intention to choose sharia economics study programs. 10(13), 3119-3126.
[14] Joseph, M., & Joseph, B. J. I. J. o. E. M. (2000). Indonesian students’ perceptions of choice criteria in the selection of a tertiary institution: Strategic implications. 14(1), 40-44.
[15] Kehm, B. M. (2013). The impact of rankings on the European higher education landscape Global university rankings: Challenges for European higher education (pp. 20-35): Springer.
[16] Le, H. Q. J. T. J. o. A. F., Economics, & Business. (2020). Factors affecting students’ decision to select private universities in Vietnam. 7(4), 235-245.
[17] Lee, Y., & Witruk, E. J. C. I. i. P. P. (2016). Teachers’ intended classroom management strategies for students with ADHD: A cross-cultural study between South Korea and Germany. 4(2), 106-117.
[18] McInerney, C. R., DiDonato, N. O., Giagnacova, R., O’Donnell, A. M. J. I. T., Learning, & Journal, P. (2006). STUDENTS CHOICE OF INFORMATION TECHNOLOGY MAJORS AND CAREERS: A QUALITATIVE STUDY. 24(2).
[19] Ming, J. S. K. J. I. J. o. B., & Science, S. (2010). Institutional factors influencing students’ college choice decision in Malaysia: A conceptual framework. 1(3).
[20] Nguyễn, P. Q. Q., Phòng, T. H. M., & Thái, N. V. (2021). Factors affecting the university choice decision of first-year students at Tay Do University.
[21] Nguyen, T., & Nguyen, T. J. Y. J. o. S. (2019). Factors affecting high school students’s decision in choosing a university in Ba Ria Vung Tau province. (6), 67-76.
[22] Nguyen, T. T. (2023). Vietnam ICT Market and why VN-Korea ICT should be cooperate. KOREA DELEGATION TO VIETNAM.
[23] Oanh, C. (June 2023). Over 1,024 million students registered for the high school graduation exam. Hau Giang Newspaper.
[24] Paulsen, M. B., & John, E. P. S. J. T. J. o. H. E. (2002). Social class and college costs: Examining the financial nexus between college choice and persistence. 73(2), 189-236.
[25] Pham, T. P., Nguyen, T. T., Tran, N. N. A., Nguyen, T. P. A., & Nguyen, T. M. P. (2021). Factors affecting university choice of high school students in Vietnam during the COVID-19 pandemic. FPT University Hanoi.
[26] Sathapornvajana, S., & Watanapa, B. J. P. C. S. (2012). Factors affecting student’s intention to choose IT program. 13, 60
[27] Susilo, K. E., & Sardjono, S. J. A. o. B. R. (2018). The Influence Of Perceived Desirability, Perceived Feasibility, Perceived Accessibility To Decision To Choose Through The Intention To Choose Of Politechnic In East Java. 6(8).
[28] Thao, D. D. C. (2022). Research on factors influencing students’ decision to choose Ho Chi Minh University of Technical Education. Ho Chi Minh City University of Technology and Education, 51.
[29] TOÀN, N. P. (2021). SURVEY OF FACTORS AFFECTING THE SCHOOL CHOICE OF GRADE 12 HIGH SCHOOL STUDENTS IN TIEN GIANG PROVINCE.
[30] Usher, A., & Savino, M. J. O. S. (2006). A World of Difference: A Global Survey of University League Tables. Canadian Education Report Series.
[31] Wagner, K., & Fard, P.-Y. J. E.-L. K. L. (2009). Factors influencing Malaysian students’ intention to study at a higher educational institution.
[32] Zhang, W. J. J. I. S. E. (2007). Why IS: Understanding undergraduate students’ intentions to choose an Information Systems major. 18(4), 447-458.

Keywords:

changes in economic structure, social welfare, income inequality.