Impact of AI Experience on Employee Well-Being and Work Engagement in Indonesian Organizations

The integration of Artificial Intelligence (AI) in the workplace has garnered increasing attention for its potential to enhance employee well-being and work engagement. This study aims to investigate the impact of AI experience on the well-being and work engagement of employees in Indonesian organizations. The research seeks to fill a gap in understanding the psychological and emotional effects of AI exposure on employees, particularly in the context of workplace dynamics. A nationwide survey was conducted across Indonesia, collecting data from a diverse sample of employees to assess how their experiences with AI influence their well-being and engagement at work. The study finds that positive AI experiences are associated with increased well-being and work engagement, with AI exposure helping to alleviate stress and improve emotional health, which in turn enhances job satisfaction and productivity. However, the cross-sectional nature of the study introduces limitations in terms of generalizability and causality. The research highlights the importance of designing AI systems that prioritize employee well-being, which can foster higher engagement and contribute to organizational success. Future studies should expand to longitudinal designs and broader geographical regions to further validate these findings. This work contributes to a deeper understanding of the emotional and psychological impact of AI on employees, offering valuable insights for organizations aiming to optimize AI systems for both productivity and employee welfare.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/iccit65724.2025.11167274
Primary Topic
Employee Performance and Management
Type
article
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article

Impact of AI Experience on Employee Well-Being and Work Engagement in Indonesian Organizations

Maria Grace Herlina, Nyree Ani, Bagas Shafa Adyatma Djoenaid, Yohanes Andri Vernando Wahap
Employee Performance and Management
article

Impact of AI Experience on Employee Well-Being and Work Engagement in Indonesian Organizations

Maria Grace Herlina, Nyree Ani, Bagas Shafa Adyatma Djoenaid, Yohanes Andri Vernando Wahap
article en

Abstract

The integration of Artificial Intelligence (AI) in the workplace has garnered increasing attention for its potential to enhance employee well-being and work engagement. This study aims to investigate the impact of AI experience on the well-being and work engagement of employees in Indonesian organizations. The research seeks to fill a gap in understanding the psychological and emotional effects of AI exposure on employees, particularly in the context of workplace dynamics. A nationwide survey was conducted across Indonesia, collecting data from a diverse sample of employees to assess how their experiences with AI influence their well-being and engagement at work. The study finds that positive AI experiences are associated with increased well-being and work engagement, with AI exposure helping to alleviate stress and improve emotional health, which in turn enhances job satisfaction and productivity. However, the cross-sectional nature of the study introduces limitations in terms of generalizability and causality. The research highlights the importance of designing AI systems that prioritize employee well-being, which can foster higher engagement and contribute to organizational success. Future studies should expand to longitudinal designs and broader geographical regions to further validate these findings. This work contributes to a deeper understanding of the emotional and psychological impact of AI on employees, offering valuable insights for organizations aiming to optimize AI systems for both productivity and employee welfare.

Binus University (ID), Massey University (NZ)
Openalex Percentile: Top 55%
Employee Performance and Management
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Impact of AI Experience on Employee Well-Being and Work Engagement in Indonesian Organizations — Maria Grace Herlina, Nyree Ani, et al. · (2025) | TGRS Research Map | TGRS