Artificial Intelligence in Hospitality and Tourism
Insights From Industry Practices, Research Literature, and Expert Opinions
Bibliographic Data
| ID | 7159674 |
|---|---|
| Authors | Hyunsu Kim (0000-0003-0103-9313, Department of Management, College of Business and Economics, California State University, Fullerton, CA, USA, corresponding author), Kevin Kam Fung So (0000-0002-4846-7481, Oklahoma State University), Seunghun Shin (0000-0001-7022-6732, School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong), Jing Li (0000-0001-7792-4322, Texas Tech University) |
| Year | 2025 |
| Volume | 49 |
| Issue | 2 |
| Pages | 366-385 |
| Publication date | 2025-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Hospitality & Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 1096-3480 • E-ISSN: 1557-7554 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/10963480241229235 |
| OpenAlex | W4391822953 |
| Language | EN |
| Citations received | 18 |
| References cited | 73 |
Given that artificial intelligence (AI) is significantly transforming businesses, it is crucial to examine how AI will change the future of the hospitality and tourism industry. By integrating multiple data sources (i.e., practitioner literature, research literature, and expert opinions), we suggest three trends constituting opportunities and challenges (AI applications in different business sectors, primary AI functions, emerging AI topics), three possible themes of change (adoption and acceptance, operations management, AI in marketing), as well as four directions for future research (AI interaction, AI and organizational decision making, organizational implications, and managerial issues). Our findings present a detailed picture of AI development and applications along with predictions regarding its place in the industry. Finally, we outline a research agenda that addresses key issues for stakeholders in hospitality and tourism: individuals, including customers and employees; organizations and businesses; and public policymakers and governments
Business · Hospitality · Hospitality industry · Hospitality management studies · Knowledge management · Political science · Tourism · AI in Service Interactions · Computer Science · Digital Marketing and Social Media · Organizational and Employee Performance · Marketing
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| Unique citing works | 18 |
|---|---|
| Citations per year | 0,95 |
| Citation span | 2007 - 2026 (20) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 18 |