Yajun Zhang , Jingjing Wang , Junwei Zhang , Yongqi Wang
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引用次数: 0
Abstract
In the foreseeable future, artificial intelligence (AI) may take on approximately 70 % of tasks in the hospitality industries. When employees become aware that AI could replace them, the awareness may lead them to deplete their own resources, subsequently resulting in deviant behavior. Therefore, drawing upon the conservation of resources theory, this study aims to explore how AI awareness affects deviant behavior and its underlying mechanisms. A paired sample of 394 hotel frontline service employees and their coworkers was collected at two time points and analyzed with hierarchical regression analysis. The results showed that AI awareness positively influenced deviant behavior, with this relationship mediated by ego depletion. Tolerance of uncertainty negatively moderated the path between AI awareness and ego depletion and negatively moderated the indirect effect of AI awareness on deviant behavior through ego depletion. Moreover, we discussed the theoretical and practical implications, limitations, and future recommendations of this research.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.