Sharif Muhammad Naeem, Zhang Li, Asif Muhammad, Alshdaifat Sajead Mowafaq, Hanaysha Jalal Rajeh
School of Management, Harbin Institute of Technology, Harbin 150001, China.
Financial and Accounting Sciences Department, Faculty of Business, Middle East University, Amman, Jordan.
Acta Psychol (Amst). 2025 Mar;253:104733. doi: 10.1016/j.actpsy.2025.104733. Epub 2025 Jan 17.
Drawing on self-determination theory (SDT), this research examines how the utilization of artificial intelligence (AI) in hospitality organizations is influencing employee work and career outcomes (well-being and career success). We explore the underlying role of job insecurity in the associations of AI use with employee wellbeing and career success. We further explore the boundary condition effect of technostress in our proposed model. This study used a three-wave online survey approach to collect data from 277 workers of fast-food chain restaurants in the People's Republic of China. We used Smart PLS 4 to analyze our data. The results showed a positive relationship among AI use and employee well-being, but not with career success. Job insecurity mediates the relationship between AI use and employee outcomes. Additionally, technostress moderated the associations between AI use and employee well-being and career success. This study contributes to the theory and practice in the field of AI and hospitality industry and helps understand the nexus between increasing use of AI and employees' work and career outcomes.
基于自我决定理论（SDT），本研究考察了酒店组织中人工智能（AI）的应用如何影响员工的工作和职业成果（幸福感和职业成功）。我们探究了工作不安全感在人工智能使用与员工幸福感和职业成功之间关联中的潜在作用。我们还进一步探究了技术压力在我们所提出模型中的边界条件效应。本研究采用三阶段在线调查方法，从中华人民共和国快餐连锁餐厅的277名员工中收集数据。我们使用Smart PLS 4对数据进行分析。结果表明，人工智能的使用与员工幸福感之间存在正相关关系，但与职业成功无关。工作不安全感在人工智能使用与员工成果之间的关系中起中介作用。此外，技术压力调节了人工智能使用与员工幸福感和职业成功之间的关联。本研究为人工智能和酒店业领域的理论与实践做出了贡献，并有助于理解人工智能使用增加与员工工作和职业成果之间的关系。
