TY - JOUR
T1 - Embracing the digital shift
T2 - Leveraging AI to foster employee well-being and engagement in remote workplace settings in the Asia Pacific region
AU - Aulia, Sofia Rizki
AU - Lin, Wen Shan
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2025/9
Y1 - 2025/9
N2 - The COVID-19 pandemic has accelerated the shift to remote work, transforming working patterns and presenting new challenges for employees. As remote work continues to grow, organizations must adapt to ensure adequate performance and employee well-being. This study pioneered investigations of the role of artificial intelligence (AI) in enhancing work engagement and well-being in remote work settings. Drawing on the socio-technical system (STS) theory, we examine the mediating effects of human-AI teaming, task-technology fit, and perceived e-leadership support on the relationship between AI digital assistant skills and employee well-being. Our quantitative study of 360 sampling subjects reveals a significant positive relationship between AI digital assistant skills and human-AI teaming, task-technology fit, and perceived e-leadership support. Furthermore, these variables significantly influence employee well-being, which in turn has a positive effect on work engagement. Our findings underscore the importance of prioritizing human aspects within AI adoption, advocating for a balanced approach that enhances organizational efficiency while promoting positive workforce outcomes. This study highlights the need to consider the human factor when implementing technology in remote work environments, emphasizing the importance of a people-centric approach to AI adoption.
AB - The COVID-19 pandemic has accelerated the shift to remote work, transforming working patterns and presenting new challenges for employees. As remote work continues to grow, organizations must adapt to ensure adequate performance and employee well-being. This study pioneered investigations of the role of artificial intelligence (AI) in enhancing work engagement and well-being in remote work settings. Drawing on the socio-technical system (STS) theory, we examine the mediating effects of human-AI teaming, task-technology fit, and perceived e-leadership support on the relationship between AI digital assistant skills and employee well-being. Our quantitative study of 360 sampling subjects reveals a significant positive relationship between AI digital assistant skills and human-AI teaming, task-technology fit, and perceived e-leadership support. Furthermore, these variables significantly influence employee well-being, which in turn has a positive effect on work engagement. Our findings underscore the importance of prioritizing human aspects within AI adoption, advocating for a balanced approach that enhances organizational efficiency while promoting positive workforce outcomes. This study highlights the need to consider the human factor when implementing technology in remote work environments, emphasizing the importance of a people-centric approach to AI adoption.
UR - https://www.scopus.com/pages/publications/86000787728
UR - https://www.scopus.com/pages/publications/86000787728#tab=citedBy
U2 - 10.1016/j.apmrv.2024.12.003
DO - 10.1016/j.apmrv.2024.12.003
M3 - Article
AN - SCOPUS:86000787728
SN - 1029-3132
VL - 30
JO - Asia Pacific Management Review
JF - Asia Pacific Management Review
IS - 3
M1 - 100339
ER -