杠杆(统计)
人力资源管理
酒店业
知识管理
业务
人力资源
款待
营销
人才管理
人力资源管理系统
技术接受模型
样品(材料)
结构方程建模
信息技术
战略人力资源规划
读写能力
人力资本
核心竞争力
资源(消歧)
钥匙(锁)
持续性
员工激励
公共关系
无形资产
组织绩效
作者
Ahmed Hodan Humidy Alhilfi,Ali Khalaf Mohammed,Zainib Abbas Jasim,Ahmed Abed Saud Almatwari,Saad Al-Din Ali Hussein,Arafat Naser Jasim Alyousuf
出处
期刊:Advances in computational intelligence and robotics book series
[IGI Global]
日期:2026-06-10
卷期号:: 161-188
标识
DOI:10.4018/979-8-3373-7240-2.ch007
摘要
This chapter investigates managers' intentions to use AI-powered human resource management (AI-HRM) systems for talent retention in the hospitality industry through an extended Technology Acceptance Model (TAM). Using a convenience sample of 110 respondents, including managers, executives, and office heads, the study examines key determinants influencing adoption intentions. In addition to the core TAM constructs, the model incorporates trust in AI, attitude toward AI-HRM, and AI literacy to provide a more comprehensive understanding of technology acceptance. The findings indicate that higher levels of trust and greater AI literacy significantly enhance intentions to adopt AI-HRM practices for talent retention, whereas attitude toward AI-HRM showed no significant effect. The study underscores the importance of fostering organizational readiness and managerial confidence in AI systems to support effective human resource strategies. Overall, the chapter offers valuable insights for hospitality organizations seeking to leverage AI to achieve sustainable talent management outcomes.
科研通智能强力驱动
Strongly Powered by AbleSci AI