Career Perspectives and Pathways: A Multi-Method Clustering Analysis of First-year Business Students

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.