Aliana Man Wai Leong, Jing Yi Bai, Muhammad Imran Rasheed, Zahid Hameed, Fevzi Okumus
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AI disruption threat and employee outcomes: Role of technology insecurity, thriving at work, and trait self-esteem
Although artificial intelligence (AI) has shown a crucial role in the digital transformation of hospitality businesses, our understanding of AI influence on employee performance outcomes has yet to be developed. We draw on self-determination theory (SDT) and aim to investigate when and how AI disruption threat influences employees’ service performance and innovative work behavior. Across a two-wave paper-pencil survey among 500 employees of an integrated resort in Macao, results reveal that AI disruption threat among hospitality workers is positively associated with technology insecurity but is negatively associated with thriving at work, which, in turn, has countervailing effects on service performance and innovative work behavior. In addition, trait self-esteem moderates these relationships, such that the negative indirect effects are attenuated when employees have high-level trait self-esteem. This study expands our understanding of the effects of AI adoption at work and offers practical insights into AI usage in hospitality and tourism businesses.
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.