Model of Improving Employee Performance Through Self Efficacy and Work Motivation with Organisational Citizenship Behaviour (OCB) as an Intervening Variable at the Demak Regency Transportation Office

Employee performance plays a crucial role in the success of an organization, including the Demak Regency Transportation Agency. This study aims to examine the direct effects of self-efficacy and work motivation on performance, as well as their influence through OCB as an intervening variable. Using an explanatory research design with a quantitative approach, the study surveyed 85 employees from the Demak Regency Transportation Office using a census method. Data were collected via a Likert-scale questionnaire and analyzed with Partial Least Squares (PLS) through SmartPLS 3. The results revealed that both self-efficacy and work motivation have a positive and significant impact on employee performance. Furthermore, OCB was found to mediate the relationship between self-efficacy, work motivation, and performance. These findings confirm that increasing self-efficacy, work motivation, and OCB can encourage more optimal performance. In conclusion, effective management of self-efficacy, work motivation, and OCB variables can be an important strategy in improving the performance of Demak Regency Transportation Agency employees. This research provides a practical contribution to human resource management in the government sector.

Authors

Institutions

Publication Details

Journal
Jurnal Indonesia Sosial Sains
Published
2025-02-07
DOI
https://doi.org/10.59141/jiss.v6i1.1579
Primary Topic
Employee Performance and Leadership
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Model of Improving Employee Performance Through Self Efficacy and Work Motivation with Organisational Citizenship Behaviour (OCB) as an Intervening Variable at the Demak Regency Transportation Office

Addin Kurnia Putri
Jurnal Indonesia Sosial Sains
Employee Performance and Leadership
article

Model of Improving Employee Performance Through Self Efficacy and Work Motivation with Organisational Citizenship Behaviour (OCB) as an Intervening Variable at the Demak Regency Transportation Office

Addin Kurnia Putri
article en

Abstract

Employee performance plays a crucial role in the success of an organization, including the Demak Regency Transportation Agency. This study aims to examine the direct effects of self-efficacy and work motivation on performance, as well as their influence through OCB as an intervening variable. Using an explanatory research design with a quantitative approach, the study surveyed 85 employees from the Demak Regency Transportation Office using a census method. Data were collected via a Likert-scale questionnaire and analyzed with Partial Least Squares (PLS) through SmartPLS 3. The results revealed that both self-efficacy and work motivation have a positive and significant impact on employee performance. Furthermore, OCB was found to mediate the relationship between self-efficacy, work motivation, and performance. These findings confirm that increasing self-efficacy, work motivation, and OCB can encourage more optimal performance. In conclusion, effective management of self-efficacy, work motivation, and OCB variables can be an important strategy in improving the performance of Demak Regency Transportation Agency employees. This research provides a practical contribution to human resource management in the government sector.

Jurnal Indonesia Sosial SainsVol. 6(1)
Sultan Agung Islamic University (ID)
Decent work and economic growth
Openalex Percentile: Top 97%
Employee Performance and Leadership
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.