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Explaining Quality of Hire via People Analytics and Skills Fit in Indonesian Logistics

Author

Listed:
  • Kania Ramadhani

    (Hasanuddin University)

  • Andi Nur Baumassepe

    (Hasanuddin University)

Abstract

Amid rapid skill change, this study examines how moving from degree-based to skills-first recruitment, together with people analytics capability, shapes person–job skills fit and, ultimately, the quality of hire within Indonesia’s logistics and transportation sector. Drawing on Human Capital theory, the Resource-Based View, and Person–Environment Fit, we tested a mediated model using partial least squares structural equation modelling on multi-source, timelagged field data from firms in South Sulawesi. Measurement reliability and convergent validity are high (composite reliability ≥0.867; AVE ≥0.566). The results show that skills-first hiring (β = 0.315, p = 0.001) and people analytics capability (β = 0.268, p = 0.003) significantly improve person–job skills fit, which strongly predicts the quality of hire (β = 0.829, p

Suggested Citation

  • Kania Ramadhani & Andi Nur Baumassepe, 2026. "Explaining Quality of Hire via People Analytics and Skills Fit in Indonesian Logistics," Advances in Economics, Business and Management Research,, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-709-5_98
    DOI: 10.2991/978-94-6239-709-5_98
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