The influence of deviant behavior on individual performance

This study aims to determine the effect of deviant behavior on individual performance and to determine the effect of deviant behavior on individual performance. This study used a quantitative method with a population of all employees of the Kupang District Court Class 1A. The sampling method uses a non-probability sample method with 40 samples which are all Kupang District Court Class 1A. There are three measuring instruments used in this study, namely a deviant behavior scale of 0.921, an individual performance scale with a reliability of 0.811, and a self-esteem scale with a reliability of 0.840. Based on the test results, it was obtained that the t value of the emotional exhaustion variable was 5.552 with a significant value of 0.000 <0.05. This shows that there is a positive influence from the deviant behavior variable on the employee's deviant behavior. The value of R2 is 0.445 or 44.5%. This means that the contribution of deviant behavior and self-esteem variables to the performance of individual employees is 44.5%. Based on the test results, it was obtained that the t value of the interaction of deviant behavior variables with self-esteem was -3.57 with a significant value of 0.042 <0.05. This shows that the self-esteem variable acts as a moderating variable between deviant behavior variables and individual performance where the moderation formed is complete moderation.

Authors

Institutions

Publication Details

Journal
Journal of Practical Management Studies
Published
2024-09-30
DOI
https://doi.org/10.61106/jpms.v2i2.31
Primary Topic
Behavioral Health and Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The influence of deviant behavior on individual performance

Ridolof W. Batilmurik, Jefri S. Fina, Enos Kabu, Sulche Nafi
Journal of Practical Management Studies
Behavioral Health and Interventions
article

The influence of deviant behavior on individual performance

Ridolof W. Batilmurik, Jefri S. Fina, Enos Kabu, Sulche Nafi
article en

Abstract

This study aims to determine the effect of deviant behavior on individual performance and to determine the effect of deviant behavior on individual performance. This study used a quantitative method with a population of all employees of the Kupang District Court Class 1A. The sampling method uses a non-probability sample method with 40 samples which are all Kupang District Court Class 1A. There are three measuring instruments used in this study, namely a deviant behavior scale of 0.921, an individual performance scale with a reliability of 0.811, and a self-esteem scale with a reliability of 0.840. Based on the test results, it was obtained that the t value of the emotional exhaustion variable was 5.552 with a significant value of 0.000 <0.05. This shows that there is a positive influence from the deviant behavior variable on the employee's deviant behavior. The value of R2 is 0.445 or 44.5%. This means that the contribution of deviant behavior and self-esteem variables to the performance of individual employees is 44.5%. Based on the test results, it was obtained that the t value of the interaction of deviant behavior variables with self-esteem was -3.57 with a significant value of 0.042 <0.05. This shows that the self-esteem variable acts as a moderating variable between deviant behavior variables and individual performance where the moderation formed is complete moderation.

Journal of Practical Management StudiesVol. 2(2)
Universitas Muhammadiyah Kupang (ID)
Openalex Percentile: Top 67%
Behavioral Health and Interventions
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.