Workload, work stress, and internal communication as predictors of employee loyalty in a regional agriculture office

Nurhaqiqi Rizqi () and Surya Bakti ()
Additional contact information
Nurhaqiqi Rizqi: Management Study Program, Faculty of Economics, Asahan University
Surya Bakti: https://orcid.org/0009-0005-4055-3712

Priviet Social Sciences Journal, 2026, vol. 6, issue 5, 463-478

Abstract: This study examined workload, work stress, and internal communication as predictors of employee loyalty among civil servants or Aparatur Sipil Negara (ASN) at the Asahan Regency Agriculture Office in North Sumatra, Indonesia. Drawing on the Job Demands-Resources (JD-R) model and Social Exchange Theory, this study uses a quantitative explanatory design with saturation sampling of the fully eligible workforce (N = 31). Data were collected using a five-point Likert questionnaire and analyzed using multiple linear regression. The results show that workload is positively associated with employee loyalty (B = 0.508, p = .007), and internal communication is also positively associated (B = 0.389, p = .025), while work stress is not statistically significant (B = -0.050, p = .618). The three predictors were jointly significant (F(3, 27) = 52.71, p

Keywords: employee loyalty; workload; work stress; internal communication; JD-R model; social exchange theory; Indonesian civil service (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journal.privietlab.org/download.php?id=12983 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:prv:pssjpv:1944

Ordering information: This journal article can be ordered from
https://journal.priv ... SJ/article/view/1944

DOI: 10.55942/pssj.v6i5.1944

Access Statistics for this article

More articles in Priviet Social Sciences Journal from Privietlab Research Center
Bibliographic data for series maintained by Mochammad Fahlevi ().