Jihao Hu , GuoQiong Ivanka Huang , IpKin Anthony Wong , Lisa C. Wan
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引用次数: 0
Abstract
The artificial intelligence revolution has prompted tourism organizations to consider whether and how to use AI to improve efficiency and create value, particularly in areas such as personnel selection. Through five experimental studies (N = 2199), this paper first reveals that a trust divide exists between job candidates and recruiters in travel agencies. We then investigate how the consideration focus of personnel attributes mediates the impact of roles on trust through thought-listing (Study 1), mediation-by-moderation (Studies 2a & 2b), and self-reported measures (Study 3). To mitigate this misalignment, we examine the AI–human assemblage design and offer an optimal way to bridge the trust divide (Study 4). The current research extends motivated reasoning theory and provides novel insights into practice.
期刊介绍：
The Annals of Tourism Research is a scholarly journal that focuses on academic perspectives related to tourism. The journal defines tourism as a global economic activity that involves travel behavior, management and marketing activities of service industries catering to consumer demand, the effects of tourism on communities, and policy and governance at local, national, and international levels. While the journal aims to strike a balance between theory and application, its primary focus is on developing theoretical constructs that bridge the gap between business and the social and behavioral sciences. The disciplinary areas covered in the journal include, but are not limited to, service industries management, marketing science, consumer marketing, decision-making and behavior, business ethics, economics and forecasting, environment, geography and development, education and knowledge development, political science and administration, consumer-focused psychology, and anthropology and sociology.
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