Artificial Intelligence at Work: Balancing Engagement and Health Harms in the Digital Workplace

This research examines the dual influence of artificial intelligence (AI) on employee outcomes, specifically its impact on work engagement and health detriment in the context of Indonesian workplaces. This study aims to investigate the dual role of AI as a motivational resource and a source of strain, and its subsequent impact on employee well-being and engagement. A quantitative design was utilized to collect data from 150 office workers in Greater Jakarta through purposive sampling. The data were analyzed using structural equation modeling (SmartPLS 3.2.9) to examine the direct and mediating relationships among AI utilization, health harm, and engagement. The findings indicate that AI enhances engagement through skill development and the reduction of repetitive tasks; however, it also contributes to health issues such as stress, fatigue, and work-life imbalance, which adversely impact engagement. This study uniquely contributes by empirically validating the simultaneous presence of resource-enhancing and strain-inducing pathways of AI adoption in an emerging economy, thereby extending dual-pathway models of organizational behavior. The findings hold significant implications for managers and policymakers, highlighting the necessity for balanced AI strategies that optimize productivity while protecting employee well-being to facilitate sustainable digital transformation.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-19
DOI
https://doi.org/10.1051/e3sconf/202568000079/pdf
Primary Topic
Cyberloafing and Workplace Behavior
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence at Work: Balancing Engagement and Health Harms in the Digital Workplace

Maria Grace Herlina, Randy Hadipoespito, Karto Iskandar
Springer Link (Chiba Institute of Technology)
Cyberloafing and Workplace Behavior
article

Artificial Intelligence at Work: Balancing Engagement and Health Harms in the Digital Workplace

Maria Grace Herlina, Randy Hadipoespito, Karto Iskandar
article en

Abstract

This research examines the dual influence of artificial intelligence (AI) on employee outcomes, specifically its impact on work engagement and health detriment in the context of Indonesian workplaces. This study aims to investigate the dual role of AI as a motivational resource and a source of strain, and its subsequent impact on employee well-being and engagement. A quantitative design was utilized to collect data from 150 office workers in Greater Jakarta through purposive sampling. The data were analyzed using structural equation modeling (SmartPLS 3.2.9) to examine the direct and mediating relationships among AI utilization, health harm, and engagement. The findings indicate that AI enhances engagement through skill development and the reduction of repetitive tasks; however, it also contributes to health issues such as stress, fatigue, and work-life imbalance, which adversely impact engagement. This study uniquely contributes by empirically validating the simultaneous presence of resource-enhancing and strain-inducing pathways of AI adoption in an emerging economy, thereby extending dual-pathway models of organizational behavior. The findings hold significant implications for managers and policymakers, highlighting the necessity for balanced AI strategies that optimize productivity while protecting employee well-being to facilitate sustainable digital transformation.

Springer Link (Chiba Institute of Technology)
Decent work and economic growth
Openalex Percentile: Top 21%
Cyberloafing and Workplace Behavior
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