This study examines the implications of integrating artificial intelligence (AI) into the workplace, using the Job Demands-Resources (JD-R) model to analyze its impact on employee well-being and job satisfaction. We illustrate how AI can serve as both a valuable resource and a source of new demands. AI can potentially alleviate workload and enhance productivity by automating tasks and providing employees with efficient tools. However, it can also introduce new demands, such as the need for new skills and the potential for increased performance expectations. This study provides insights for organizations to optimize AI implementation to benefit both employees and the company, while acknowledging potential drawbacks and ethical considerations. We propose a variety of future research directions to further investigate the relationship between AI and the workplace, encompassing longitudinal studies, qualitative analyses, experimental studies, surveys, modeling and policy analysis.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Striking a Balance: How AI Impacts Job Demands, Resources, and Employee Well-Being

  • Tamilla Triantoro

摘要

This study examines the implications of integrating artificial intelligence (AI) into the workplace, using the Job Demands-Resources (JD-R) model to analyze its impact on employee well-being and job satisfaction. We illustrate how AI can serve as both a valuable resource and a source of new demands. AI can potentially alleviate workload and enhance productivity by automating tasks and providing employees with efficient tools. However, it can also introduce new demands, such as the need for new skills and the potential for increased performance expectations. This study provides insights for organizations to optimize AI implementation to benefit both employees and the company, while acknowledging potential drawbacks and ethical considerations. We propose a variety of future research directions to further investigate the relationship between AI and the workplace, encompassing longitudinal studies, qualitative analyses, experimental studies, surveys, modeling and policy analysis.