TY - JOUR
T1 - Artificial Intelligence in Hospitality and Tourism: Insights From Industry Practices, Research Literature, and Expert Opinions
AU - Kim, Hyunsu
AU - So, Kevin Kam Fung
AU - Shin, Seunghun
AU - Li, Jing
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/2
Y1 - 2024/2
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - evolution
KW - future
KW - hospitality
KW - tourism
UR - http://www.scopus.com/inward/record.url?scp=85185665699&partnerID=8YFLogxK
U2 - 10.1177/10963480241229235
DO - 10.1177/10963480241229235
M3 - Journal article
AN - SCOPUS:85185665699
SN - 1096-3480
JO - Journal of Hospitality and Tourism Research
JF - Journal of Hospitality and Tourism Research
ER -