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

DOI

10.2991/978-94-6239-709-5_98How to use a DOI?

Keywords

Skills-First Hiring; People Analytics Capability; Person–Job Skills Fit; Quality of Hire; Logistics and Transport

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 < 0.001). Indirect effects from skills-first hiring (β = 0.261, p = 0.002) and analytics capability (β = 0.222, p = 0.001) to quality of hire via fit are significant; the model explains 61.2% of fit and 73.1% of quality-of-hire variance. The findings clarify a skills-centred mechanism for hiring effectiveness and offer a practical playbook: redesign job requirements and assessments around demonstrable competencies, institutionalise a skills taxonomy, and build analytics governance to track and lift quality-of-hire outcomes.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Kania Ramadhani
AU  - Andi Nur Baumassepe
PY  - 2026
DA  - 2026/06/20
TI  - Explaining Quality of Hire via People Analytics and Skills Fit in Indonesian Logistics
BT  - Proceedings of the 10th International Conference on Accounting, Management, and Economics (10th ICAME 2025)
PB  - Atlantis Press
SP  - 1410
EP  - 1421
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-709-5_98
DO  - 10.2991/978-94-6239-709-5_98
ID  - Ramadhani2026
ER  -