Abstract :

This study examines first-year business students’ career perspectives and pathways through the lens of clustering analysis. Using Particle Swarm Optimization (PSO), K-means, and Hierarchical Clustering techniques, the data reveals three distinct student clusters: a goal-oriented group focused on traditional business careers, an exploratory cluster still discovering their passions, and a smaller segment of passion-driven individuals pursuing specialized or innovative career paths. Positioning these clusters along the dimensions of career perspectives and career paths provides insights into the diversity of first-year business students. The study concludes that business schools must implement tailored career exploration programs, structured mentorship opportunities, and entrepreneurship-specific initiatives targeting this diverse cohort’s unique needs and aspirations. Fostering this holistic ecosystem to celebrate the diversity of career outlooks will better position first-year business students for long-term success and fulfillment in the evolving business landscape.

Keywords :

References :

1. Afridila, S., & Alansa, F. D. (2020). Analysis of the level of interest in the entrepreneurship for students in the Faculty of Agriculture, Universitas Syiah Kuala. In IOP Conference Series: Earth and Environmental Science(Vol. 425, No. 1, p. 012013). IOP Publishing. DOI 10.1088/1755-1315/425/1/012013
2. Badoer, E., Hollings, Y., & Chester, A. (2021). Professional networking for undergraduate students: A scaffolded approach. Journal of further and Higher Education, 45(2), 197-210. https://doi.org/10.1080/0309877X.2020.1744543
3. Chen, C. P. (2017). Career self-determination theory. Psychology of career adaptability, employability and resilience, 329-347. https://doi.org/10.1007/978-3-319-66954-0_20
4. Chen, Y., & Kizilcec, R. F. (2024). Showing authentic examples of academic and career trajectories to influence college students’ career exploration. Journal of Vocational Behavior, 153, 104026. https://doi.org/10.1016/j.jvb.2024.104026
5. Ciarocco, N. J. (2018). Traditional and new approaches to career preparation through coursework. Teaching of Psychology, 45(1), 32-40. https://doi.org/10.1177/0098628317744963
6. Cieślik, J., & Van Stel, A. (2017). Explaining university students’ career path intentions from their current entrepreneurial exposure. Journal of Small Business and Enterprise Development, 24(2), 313-332.
7. Clements, A. J., & Kamau, C. (2018). Understanding students’ motivation towards proactive career behaviours through goal-setting theory and the job demands–resources model. Studies in Higher Education, 43(12), 2279-2293. https://doi.org/10.1080/03075079.2017.1326022
8. Donald, W. E., Ashleigh, M. J., & Baruch, Y. (2018). Students’ perceptions of education and employability: Facilitating career transition from higher education into the labor market. Career development international, 23(5), 513-540. https://doi.org/10.1108/CDI-09-2017-0171
9. Fan, L. (2024). Prediction of English Teacher Career Development Based on Data Mining and Time Series Model. Scalable Computing: Practice and Experience, 25(3), 1588-1602. https://doi.org/10.12694/scpe.v25i3.2778
10. Fenning, B. E., & May, L. N. (2013). “Where there is a will, there is an A”: Examining the roles of self-efficacy and self-concept in college students’ current educational attainment and career planning. Social Psychology of Education, 16, 635-650. https://doi.org/10.1007/s11218-013-9228-4
11. Garmon, J. M. (2004). Relationships among initial conditions, career path development, and career path satisfaction: A chaos theory perspective(Doctoral dissertation, The Florida State University).
12. Gault, J., Redington, J., & Schlager, T. (2000). Undergraduate business internships and career success: are they related?.  Journal of marketing education, 22(1), 45-53. https://doi.org/10.1177/0273475300221006
13. Geddam, R., Khanpara, P., Ghiria, H., & Patel, T. (2024). In the Educational Nexus: Understanding the Sequential Influence of Big Five Personality Traits, Major Identity, and Self-Esteem on Academic Outcomes through Clustering Algorithms. Scalable Computing: Practice and Experience, 25(6), 4477-4492. https://doi.org/10.12694/scpe.v25i6.3278
14. Hwang, M. H., Lee, D., Lim, H. J., Seon, H. Y., Hutchison, B., & Pope, M. (2014). Academic underachievement and recovery: Student perspectives on effective career interventions. The Career Development Quarterly, 62(1), 81-94. https://doi.org/10.1002/j.2161-0045.2014.00072.x
15. Kalchik, S., & Oertle, K. (2010). The Integral Role of Career Development in Supporting Programs of Study and Career Pathways. Transition Highlights. Issue 1. Office of Community College Research and Leadership.
16. Karp, M. J. M. (2013). Entering a program: Helping students make academic and career decisions.
17. Komarraju, M., Swanson, J., & Nadler, D. (2014). Increased career self-efficacy predicts college students’ motivation, and course and major satisfaction. Journal of Career Assessment, 22(3), 420-432. https://doi.org/10.1177/1069072713498484
18. Krumboltz, J. D., Mitchell, A. M., & Jones, G. B. (1976). A social learning theory of career selection. The counseling psychologist, 6(1), 71-81.
19. Kwok, C. Y. (2018). Managing uncertainty in the career development of emerging adults: Implications for undergraduate students. Australian Journal of Career Development, 27(3), 137-149. https://doi.org/10.1177/1038416217744216
20. Lindstrom, L., Lind, J., Beno, C., Gee, K. A., & Hirano, K. (2022). Career and college readiness for underserved youth: Educator and youth perspectives. Youth & Society, 54(2), 221-239. https://doi.org/10.1177/0044118X20977004
21. Luwei, W., & Huimin, M. (2024). From jobs to careers: drivers and barriers to career development in emerging labor markets. Frontiers in Sociology, 9, 1486871. https://doi.org/10.3389/fsoc.2024.1486871
22. Lin, M., Chin, K. S., Ma, L., & Tsui, K. L. (2020). A comprehensive multi-objective mixed integer nonlinear programming model for an integrated elderly care service districting problem. Annals of Operations Research, 291, 499-529. https://doi.org/10.1007/s10479-018-3078-6
23. Liu, D. Y. T., Bartimote-Aufflick, K., Pardo, A., & Bridgeman, A. J. (2017). Data-driven personalization of student learning support in higher education. Learning analytics: Fundaments, applications, and trends: A view of the current state of the art to enhance e-learning, 143-169. https://doi.org/10.1007/978-3-319-52977-6_5
24. Lv, J. (2024). Stacked Ranking Feature Cluster Machine Learning (Srfcml): A Novel Method of Career Planning of College Students Based on Career Interest Assessment and Machine Learning. Journal of Electrical Systems, 20(3s), 1659-1669.
25. Massoni, Sébastien, Madalina Olteanu, and Patrick Rousset. “Career-path analysis using optimal matching and self-organizing maps.” In International Workshop on Self-Organizing Maps, pp. 154-162. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.
26. Majid, S., Eapen, C. M., Aung, E. M., & Oo, K. T. (2019). The Importance of Soft Skills for Employability and Career Development: Students and Employers’ Perspectives. IUP Journal of Soft Skills, 13(4).
27. Marshall, D. R., & Gigliotti, R. (2020). Bound for entrepreneurship? A career-theoretical perspective on entrepreneurial intentions. International Entrepreneurship and Management Journal, 16(1), 287-303. https://doi.org/10.1007/s11365-018-0523-6
28. Metz, A. J., Fouad, N., & Ihle-Helledy, K. (2009). Career aspirations and expectations of college students: Demographic and labor market comparisons. Journal of Career Assessment, 17(2), 155-171.
29. Montaño, V. E., & Sobrejuanite, G. C. (2024). CLUSTER AND CAREERS: EXPLORING SALARY STRUCTURES AND FACULTY RECRUITMENT IN ACADEMIC PROGRAMS. European Journal of Education Studies, 11(2). http://dx.doi.org/10.46827/ejes.v11i2.5187
30. Montano, V., & Valdez, C. A. The Interplay of Motivation, Skills, and Promotions: A Bootstrapped Analysis of MBA Graduates through the Lens of Intelligent Career Theory. https://doi.org/10.47191/ijmra/v7-i04-19
31. Ng, Y. H., Lai, S. P., Su, Z. P., Yap, J. Y., Teoh, H. Q., & Lee, H. (2017). Factors influencing accounting students’ career paths. Journal of Management Development, 36(3), 319-329. https://doi.org/10.1108/JMD-11-2015-0169
32. Ngo, A., & Thuy, T. (2024). The Importance of Soft Skills for Academic Performance and Career Development—From the Perspective of University Students. International Journal of Engineering Pedagogy, 14(3).
33. Poondej, C., Koul, R., & Sujivorakul, C. (2013). Achievement goal orientation and the critical thinking disposition of college students across academic programmes. Journal of Further and Higher Education, 37(4), 504-518. https://doi.org/10.1080/0309877X.2011.645463
34. Pryor, R. G., & Bright, J. E. (2003). Order and chaos: A twenty‐first century formulation of careers. Australian Journal of Psychology, 55(2), 121-128. https://doi.org/10.1080/00049530412331312984
35. Rosenbaum, J. E., Ahearn, C. E., Rosenbaum, J. E., & Rosenbaum, J. (2017). Bridging the gaps: College pathways to career success. Russell Sage Foundation.
36. Schlesinger, J., & Daley, L. P. (2016). Applying the chaos theory of careers as a framework for college career centers. Journal of Employment Counseling, 53(2), 86-96. https://doi.org/10.1002/joec.12030
37. Shahi, S. K. (2024). Career Goal Setting Knowledge and Practices among Mid-West University Students. Journal of Entrepreneurship & Management Studies, 1(1), 1-16. https://doi.org/10.3126/jems2.v1i1.64043
38. Shaikh, M. S., Dong, X., Zheng, G., Wang, C., & Lin, Y. (2024). An Improved Expeditious Meta-Heuristic Clustering Method for Classifying Student Psychological Issues with Homogeneous Characteristics. Mathematics, 12(11), 1620. https://doi.org/10.3390/math12111620
39. Shin, Y. J., & Lee, J. Y. (2017). Attachment, career-choice pessimism, and intrinsic motivation as predictors of college students’ career adaptability. Journal of Career Development, 44(4), 311-326. https://doi.org/10.1177/0894845316653472
40. Soliman, A. S., Stainton, L., & Chamberlain, R. M. (2021). Experiential learning in career development. Journal of Cancer Education, 36(4), 874-879. https://doi.org/10.1007/s13187-020-01716-2
41. Sung, Y., Turner, S. L., & Kaewchinda, M. (2013). Career development skills, outcomes, and hope among college students. Journal of career Development, 40(2), 127-145. https://doi.org/10.1177/0894845311431939
42. Super, D. E. (1980). A life-span, life-space approach to career development. Journal of vocational behavior, 16(3), 282-298. https://doi.org/10.1016/0001-8791(80)90056-1
43. Tate, K. A., Caperton, W., Kaiser, D., Pruitt, N. T., White, H., & Hall, E. (2015). An exploration of first-generation college students’ career development beliefs and experiences. Journal of Career Development, 42(4), 294-310. https://doi.org/10.1177/0894845314565025
44. Vanek, J., Rosin, M., Silbert, J. H., Tashjian, K., & Webber, A. A. (2019). Technology, innovation, and adult career pathways. COABE Journal: The Resource for Adult Education, 124-132.
45. Weigold, I. K., Weigold, A., Ling, S., & Jang, M. (2021). College as a growth opportunity: Assessing personal growth initiative and self-determination theory. Journal of happiness studies, 22, 2143-2163.
46. Whitlock, D. W., Hampton, A. J., & Menon, S. (2024). CAREER PREFERENCES OF BUSINESS STUDENTS: TRADITIONAL CAREER PATH OR ENTREPRENEURSHIP AND SELF-EMPLOYMENT?. Journal of Business & Entrepreneurship, 33(2), 2.
47. Wright, S. L., Jenkins-Guarnieri, M. A., & Murdock, J. L. (2013). Career development among first-year college students: College self-efficacy, student persistence, and academic success. Journal of Career Development, 40(4), 292-310. https://doi.org/10.1177/0894845312455509