THE IMPACT FACTORS ON STUDENTS’ EMPLOYABILITY AT THE COLLEGE OF FINANCE AND CUSTOMS AFTER GRADUATION: EXPERIMENT BY SURVIVAL REGRESSION MODEL

THE IMPACT FACTORS ON STUDENTS’ EMPLOYABILITY AT THE COLLEGE OF FINANCE AND CUSTOMS AFTER GRADUATION: EXPERIMENT BY SURVIVAL REGRESSION MODEL

NGUYEN QUYET nguyenquyetk16@gmail.com The College of Finance and Customs, Hochiminh City
Summary: 
The article discusses about the impact factors on students’ employability at The College of Finance and Customs after graduation. Quantitative method and survival regression model were used to analyze the research data. Specifically, the author carried out empirical analysis through the econometric model with the expectation of identifying the impact factors on students’ employability. Thereby, basing on statistical evidence, the study suggested solutions to help College direct effective training strategy in order to meet social needs. Research findings showed the impact factors on students’ employability as followed: work experience, GPA, training programs, job search strategies, and soft skills.
Keywords: 
Job
students
graduation
survival regression model
Refers: 

[1] Australian Association of Graduate Employers [AAGE], (2012), AAGE employer survey, Sydney: AAGE.

[2] Bourner, T., & Millican, J., (2011), Studentcommunity engagement and graduate employability, Widening Participation and Lifelong Learning, 13(2), 68- 85.

[3] Bridgstock, R., (2009), The graduate attributes we’ve overlooked: Enhancing graduate employability through career management skills, Higher Education Research and Development, 28(1), 31-44.

[4] Coates, H., & Edwards, D., (2011), The Graduate Pathways Survey: New insights on education and employment outcomes five years after Bachelor degree completion, Higher Education Quarterly, 65(1), 74-93.

[5] Chia, Grace and Paul W. Miller, (2008), Tertiary Performance, Field of Study, and Graduate Starting Salaries, The Australian Economic Review, 41(1), pp. 15-31.

[6] Denise Jackson, (2014), Factors influencing job attainment in recent Bachelor graduates: evidence from Australia, High Educ, 68:pp. 135-153.

[7] D. R. Cox, (1972), Regression Models and LifeTables, Journal of the Royal Statistical Society, Series B (Methodological), Vol. 34, No. 2, pp. 187-220.

[8] Jackson, D., & Chapman, E., (2012), Nontechnical competencies in undergraduate Business degree programs: Australian and UK perspectives, Studies in Higher Education, 37(5), 541-567.

[9] Jensen, K., (2009), Why work experience matters! Real prospects 2009 graduates’ experiences of placements, internships and work experience, Manchester: Higher Education Career Services Unit.

[10] Kuijpers, M., Meijers, F. and Gundy, C., (2011), The relationship between learning environment and career competencies of students in vocational education, Journal of Vocational Behavior, Vol.78, pp. 21-30.

[11] McKeown, T., & Lindorff, M., (2011), The graduate job search process—A lesson in persistence rather than good career management, Education and Training, 53(4), 310-320

[12] McNally, D. & Speak, K., (2002), Be Your Own Brand, Berrett-Koehler Publishers, Inc. San Francisco, CA.

[13] Paul Oehrlein, (2009), Determining Future Success of College Students. The Park Place Economist, Volume XVII, pp. 59-67.

[14] Pegg, A., Waldock, J., Hendy-Isaac, S., & Lawton, R. (2012). Pedagogy for employability. York: HEA.

[15] Scholz, Dan, (1996), Risk Associated With Different College Majors, Illinois Wesleyan University: Senior Honors Project.

[16] Watts, A. G. and Fretwell, D., (2004), Public Policies for Career Development. Washington DC, World Bank.

[17] Wise, David A., (1975), Academic Achievement and Job Performance, The American Economic Review, 65(3), pp. 350-366.

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