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

Kania Ramadhani () and Andi Nur Baumassepe
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Kania Ramadhani: Hasanuddin University
Andi Nur Baumassepe: Hasanuddin University

A chapter in Proceedings of the 10th International Conference on Accounting, Management, and Economics (10th ICAME 2025), 2026, pp 1410-1421 from Springer

Abstract: 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

Keywords: Skills-First Hiring; People Analytics Capability; Person–Job Skills Fit; Quality of Hire; Logistics and Transport (search for similar items in EconPapers)
Date: 2026
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DOI: 10.2991/978-94-6239-709-5_98

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