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Predicting turnover intention of indonesian millennials workforce in the manufacturing industry: a PLS-SEM approach

Romadhani Ardi (Department of Industrial Engineering, Universitas Indonesia, Depok, Indonesia)
Niken Anggraini (Department of Industrial Engineering, Universitas Indonesia, Depok, Indonesia)

Industrial and Commercial Training

ISSN: 0019-7858

Article publication date: 22 August 2022

Issue publication date: 2 January 2023

188

Abstract

Purpose

This study aims to assess the factors that can affect the turnover intention of millennial talents working in the Indonesian manufacturing industry.

Design/methodology/approach

This work analyzes 115 responses from millennial talents working in the Indonesian manufacturing industry on the issue of turnover intention. Data were collected through an online questionnaire. The collected data were then tested using partial least square-structural equation modeling.

Findings

The findings suggest that competency development, work–life balance and meaningful work have a direct impact on the employee satisfaction of millennials in the Indonesian manufacturing industry. However, compensation and benefits have no significant effect on job satisfaction.

Research limitations/implications

This study has limitations in data collection, concentrated merely in the Jakarta Greater Area. Hence, it would potentially influence the generalization of the results.

Originality/value

This study reveals the potential lack of awareness within Indonesian manufacturing companies in providing a valuable compensation and benefits program for millennials.

Keywords

Acknowledgements

This research was funded by the grant of Publikasi Terindeks Internasional (PUTI) Q3 from Directorate of Research and Development, Universitas Indonesia (UI) number NKB-4576/UN2.RST/HKP.05.00/2020. The authors appreciate the constructive comments from the anonymous reviewer.

Citation

Ardi, R. and Anggraini, N. (2023), "Predicting turnover intention of indonesian millennials workforce in the manufacturing industry: a PLS-SEM approach", Industrial and Commercial Training, Vol. 55 No. 1, pp. 47-61. https://doi.org/10.1108/ICT-08-2021-0056

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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