AI and Workplace Happiness: A Symbiotic Relationship Driving Indonesian Employees’ Engagement

This study explores the relationship between workplace happiness, AI usage, and AI-based engagement, with a particular focus on the mediating role of AI usage. It examines how a positive work environment influences AI adoption and how AI tools, in turn, enhance employee engagement with these technologies. A quantitative cross-sectional survey was conducted among white-collar employees in Greater Jakarta, Indonesia, using purposive sampling. Structural equation modeling (SEM) was employed to test the hypothesized relationships. The results demonstrate that workplace happiness significantly influences AI usage, which then positively affects AI engagement. The mediation analysis reveals that AI usage plays a crucial role in linking workplace happiness to enhanced AI engagement, underscoring the importance of cultivating a positive work environment to foster both AI usage and engagement. However, the study is limited by its cross-sectional design, which limits causal inferences, and the focus on white-collar workers in Greater Jakarta, which may affect the generalizability of the findings. Future research should explore longitudinal studies and consider broader populations as well as additional variables influencing AI usage. Organizations can apply these findings to improve employee engagement with AI by promoting a supportive, happy work environment and investing in employee well-being and AI training. This study contributes to the literature by highlighting the mediating role of AI usage, an aspect that has been underexplored.

Authors

Institutions

Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1109/iraset64571.2025.11008280
Citations
1
Primary Topic
Psychological Well-being and Life Satisfaction
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI and Workplace Happiness: A Symbiotic Relationship Driving Indonesian Employees’ Engagement

Maria Grace Herlina, Kenny
1 citations
Psychological Well-being and Life Satisfaction
2.44
article

AI and Workplace Happiness: A Symbiotic Relationship Driving Indonesian Employees’ Engagement

Maria Grace Herlina, Kenny
article en
1 citations

Abstract

This study explores the relationship between workplace happiness, AI usage, and AI-based engagement, with a particular focus on the mediating role of AI usage. It examines how a positive work environment influences AI adoption and how AI tools, in turn, enhance employee engagement with these technologies. A quantitative cross-sectional survey was conducted among white-collar employees in Greater Jakarta, Indonesia, using purposive sampling. Structural equation modeling (SEM) was employed to test the hypothesized relationships. The results demonstrate that workplace happiness significantly influences AI usage, which then positively affects AI engagement. The mediation analysis reveals that AI usage plays a crucial role in linking workplace happiness to enhanced AI engagement, underscoring the importance of cultivating a positive work environment to foster both AI usage and engagement. However, the study is limited by its cross-sectional design, which limits causal inferences, and the focus on white-collar workers in Greater Jakarta, which may affect the generalizability of the findings. Future research should explore longitudinal studies and consider broader populations as well as additional variables influencing AI usage. Organizations can apply these findings to improve employee engagement with AI by promoting a supportive, happy work environment and investing in employee well-being and AI training. This study contributes to the literature by highlighting the mediating role of AI usage, an aspect that has been underexplored.

Binus University (ID)
Openalex Percentile: Top 13%
Psychological Well-being and Life Satisfaction
2.44
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.