Analysis of the Quiet Quitting Phenomenon with Work Engagement and Job Satisfaction as mediators, Study of Employees in Indonesia Banking Industry

The phenomenon of quiet quitting has significantly captured global attention across various industries in recent years. Quiet quitting refers to a form of employee disengagement characterized by limiting their efforts to meeting minimal expectations and avoiding additional tasks or responsibilities beyond what is explicitly required. This behavior impacts organizational performance, workplace dynamics, and employee well-being. When employees silently disengage from full involvement in their work, organizations may experience decreased productivity, hindered teamwork dynamics, and challenges in retaining top talent. This research aims to analyze the determinant factors in the quiet quitting intention phenomenon, mediated by work engagement and job satisfaction. Data were collected through a questionnaire and analyzed quantitatively from 405 employees of a banking sector company in Indonesia using purposive sampling and analyzed with Partial Least Square-Structural Equation Modeling (PLS-SEM) using Smart PLS. By understanding these signs, organizations can early detect quiet quitting intention behaviors and take appropriate steps to determine the necessary actions to address the underlying issues of quiet quitting behavior.

Authors

Institutions

Publication Details

Journal
Eduvest - Journal Of Universal Studies
Published
2024-11-20
DOI
https://doi.org/10.59188/eduvest.v4i11.44765
Citations
4
Primary Topic
Employee Performance and Management
Type
article
Field-Weighted Citation Impact
8.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the Quiet Quitting Phenomenon with Work Engagement and Job Satisfaction as mediators, Study of Employees in Indonesia Banking Industry

Riani Rachmawati, M. Sitorus
4 citations
Eduvest - Journal Of Universal Studies
Employee Performance and Management
8.76
article

Analysis of the Quiet Quitting Phenomenon with Work Engagement and Job Satisfaction as mediators, Study of Employees in Indonesia Banking Industry

Riani Rachmawati, M. Sitorus
article en
4 citations

Abstract

The phenomenon of quiet quitting has significantly captured global attention across various industries in recent years. Quiet quitting refers to a form of employee disengagement characterized by limiting their efforts to meeting minimal expectations and avoiding additional tasks or responsibilities beyond what is explicitly required. This behavior impacts organizational performance, workplace dynamics, and employee well-being. When employees silently disengage from full involvement in their work, organizations may experience decreased productivity, hindered teamwork dynamics, and challenges in retaining top talent. This research aims to analyze the determinant factors in the quiet quitting intention phenomenon, mediated by work engagement and job satisfaction. Data were collected through a questionnaire and analyzed quantitatively from 405 employees of a banking sector company in Indonesia using purposive sampling and analyzed with Partial Least Square-Structural Equation Modeling (PLS-SEM) using Smart PLS. By understanding these signs, organizations can early detect quiet quitting intention behaviors and take appropriate steps to determine the necessary actions to address the underlying issues of quiet quitting behavior.

Eduvest - Journal Of Universal StudiesVol. 4(11)
University of Indonesia (ID)
Decent work and economic growth
Openalex Percentile: Top 2%
Employee Performance and Management
8.76
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.