Cheng-Chieh Allan Lu, Chu-Chen Rosa Yeh, Chih-Chien Steven Lai
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引用次数: 0
Abstract
To address a research gap on employees as AI users, this study proposed and tested a moderated mediation model investigating several key drivers of employees’ acceptance level of using AI for work. Specifically, this model investigated the direct effect of employees’ perceived intelligence of AI on their acceptance level of using AI for work, as well as the mediating effect of trust between these two factors, with two interpersonal job characteristics (i.e., dealing with others and friendship opportunity) serving as moderators on the relationship between trust and employees’ acceptance level of using AI for work. Employees from businesses which have integrated or about to integrate AI technology into the business operation in Taiwan were the target sample. A total of 398 responses were collected through an online self-administrated questionnaire. Analysis using SPSS PROCESS confirmed the mediating effect of trust, however, the two interpersonal job characteristics, although significant, strengthened instead of weakened the moderated relationships as hypothesized. This study made an important theoretical contribution establishing trust as a key link between perceived intelligence of AI and employees’ acceptance of using AI for work. Suggestions as to why interpersonal job characteristics enhance employees’ trust and thereby usage of AI were also discussed.
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.