Anne Rachelle Castaneda , Haroon Iqbal Maseeh , Jiraporn Surachartkumtonkun , Wei Shao , Park Thaichon
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引用次数: 0
Abstract
This study explores how frontline employees’ perceived benefits of artificial intelligence (AI) influence two behavioural outcomes: AI adoption and job engagement. Using the Social Shaping of Technology (SST) framework, which highlights the role of social, organizational, and contextual factors over technical features, the meta-analysis synthesises 71 studies involving 23,051 employees across 37 countries. Perceived AI benefits (e.g., increased efficiency, reduced monotony, decision-making support) positively relate to both adoption and engagement, though risks like job displacement anxiety can weaken these effects. To identify when and for whom these benefits matter most, the study analyses 13 moderators (user-level: gender, education, age, tenure, role, position; organizational-level: industry, control, AI task and knowledge; macrolevel:year, country). Industry type, control over AI, and work level/position were most significant. The findings underscore the need for tailored AI strategies aligned with workforce characteristics and socio-technical contexts, advancing employee-centred AI research on contextual variation and moderating effects.
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.