Author
Listed:
- Muhammad Fauzan Fahlevi
- Sri Mintarti
- Ariesta Heksarini
- Dirga Lestari
Abstract
This study investigates the effects of workload, distributive justice, and perceived organizational support on employee retention and performance in the Industrial Plantation Forest Workforce of East Kalimantan. Amid the physically demanding and strategically significant nature of this sector, understanding the drivers of workforce sustainability is essential. A quantitative, cross-sectional research design was employed using a survey distributed to 291 contract workers from four plantation districts under the Sinar Mas Group. Data were analyzed using Partial Least Squares Structural Equation Modeling. The results show that distributive justice and perceived organizational support significantly influence employee retention. Moreover, perceived organizational support demonstrates a strong and positive effect on employee performance. In contrast, workload does not have a significant impact on either retention or performance, suggesting that the demanding nature of plantation work may be perceived as a norm rather than a stressor. Additionally, employee retention was not found to significantly influence psychological well-being, indicating that longer tenure alone does not guarantee improved emotional or mental health outcomes. These findings underscore the importance of fairness in reward systems and organizational care in fostering loyalty and effectiveness among workers. The study contributes empirical evidence for workforce management in labor-intensive industries and highlights the need for organizations to move beyond workload management and prioritize equitable treatment and psychosocial support to ensure long-term sustainability and performance.
Suggested Citation
Muhammad Fauzan Fahlevi & Sri Mintarti & Ariesta Heksarini & Dirga Lestari, 2025.
"Retention and performance in industrial forest plantations: A structural equation modeling approach,"
International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(6), pages 439-450.
Handle:
RePEc:aac:ijirss:v:8:y:2025:i:6:p:439-450:id:9634
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aac:ijirss:v:8:y:2025:i:6:p:439-450:id:9634. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.