Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions

被引:27
作者
Kim, Hyunsu [1 ]
So, Kevin Kam Fung [2 ,3 ]
Shin, Seunghun [4 ]
Li, Jing [5 ]
机构
[1] Calif State Univ Fullerton, Coll Business & Econ, Dept Management, 800 N State Coll Blvd, Fullerton, CA 92831 USA
[2] Oklahoma State Univ, William S Spears Chair Business, Sch Hospitality & Tourism Management, Spears Sch Business, Stillwater, OK USA
[3] Kyung Hee Univ, Coll Hotel & Tourism Management, Seoul, South Korea
[4] Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Hong Kong, Peoples R China
[5] Texas Tech Univ, Coll Human Sci, Dept Hospitality & Retail Management, Lubbock, TX USA
关键词
artificial intelligence; evolution; future; hospitality; tourism;
D O I
10.1177/10963480241229235
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:366 / 385
页数:20
相关论文
共 93 条
[1]   Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape [J].
Ailia, Muhammad Joan ;
Thakur, Nishant ;
Abdul-Ghafar, Jamshid ;
Jung, Chan Kwon ;
Yim, Kwangil ;
Chong, Yosep .
CANCERS, 2022, 14 (10)
[2]   An information-theoretic perspective of tf-idf measures [J].
Aizawa, A .
INFORMATION PROCESSING & MANAGEMENT, 2003, 39 (01) :45-65
[3]  
Bammens Y., 2023, SLOAN MANAGE REV, V64, P1
[4]   Artificial intelligence: disrupting what we know about services [J].
Bock, Dora E. ;
Wolter, Jeremy S. ;
Ferrell, O. C. .
JOURNAL OF SERVICES MARKETING, 2020, 34 (03) :317-334
[5]   The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions [J].
Borges, Aline F. S. ;
Laurindo, Fernando J. B. ;
Spinola, Mauro M. ;
Goncalves, Rodrigo F. ;
Mattos, Claudia A. .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2021, 57
[6]  
Bowen J, 2018, WORLDW HOSP TOUR THE, V10, P726, DOI [10.1108/whatt-07-2018-0045, 10.1108/WHATT-07-2018-0045]
[7]   Case Study as a Research Method in Hospitality and Tourism Research: A Systematic Literature Review (1974-2020) [J].
Cakar, Kadir ;
Aykol, Sehmus .
CORNELL HOSPITALITY QUARTERLY, 2021, 62 (01) :21-31
[8]   A comparative automated content analysis approach on the review of the sharing economy discourse in tourism and hospitality [J].
Cheng, Mingming ;
Edwards, Deborah .
CURRENT ISSUES IN TOURISM, 2019, 22 (01) :35-49
[9]   A Tri-Method Approach to a Review of Adventure Tourism Literature: Bibliometric Analysis, Content Analysis, and a Quantitative Systematic Literature Review [J].
Cheng, Mingming ;
Edwards, Deborah ;
Darcy, Simon ;
Redfern, Kylie .
JOURNAL OF HOSPITALITY & TOURISM RESEARCH, 2018, 42 (06) :997-1020
[10]   Tourists' Attitudes toward the Use of Artificially Intelligent (AI) Devices in Tourism Service Delivery: Moderating Role of Service Value Seeking [J].
Chi, Oscar Hengxuan ;
Gursoy, Dogan ;
Chi, Christina G. .
JOURNAL OF TRAVEL RESEARCH, 2022, 61 (01) :170-185