Artificial intelligence's impact on hospitality and tourism marketing: exploring key themes and addressing challenges

被引:89
作者
Bulchand-Gidumal, Jacques [1 ]
Secin, Eduardo William [1 ]
O'Connor, Peter [2 ]
Buhalis, Dimitrios [3 ]
机构
[1] Univ Palmas Gran Canaria, TIDES Inst Sustainable Tourism & Econ Dev, Las Palmas Gran Canaria, Spain
[2] Univ South Australia, Adelaide, Australia
[3] Bournemouth Univ, Poole, England
关键词
AI; marketing; customization; personalization; innovation; big data; LESSONS;
D O I
10.1080/13683500.2023.2229480
中图分类号
F [经济];
学科分类号
02 ;
摘要
Understanding how Artificial Intelligence (AI) impacts organizational functions supports stakeholders to prepare accordingly and profit from these developments. Adopting a grounded theory approach, this study uses three interlinked stages (in-depth interviews, focus groups and a questionnaire-based survey) to explore the impact of AI on the marketing function of hotels. The results identify ten trends related to AI's contribution to hotel marketing, clustered in four themes. AI reengineers internal processes and procedures by enabling data and content as catalysts of competitiveness; empowering the augmented worker and performing mass personalization and customization. AI also impacts relationships with stakeholders by determining return on investment; improving sustainability; and governing legal aspects and ethics regarding data use. AI supports networks to which the organizations belong by concentrating and integrating organizations and transforming distribution models. AI transforms customer processes and services by engaging smart and predictive customer care and by employing predictive and augmented product and service design. The study illustrates the changes that AI will likely bring to hospitality and tourism marketing, developing a research agenda and raising discussion points for academic and industry practitioners respectively.
引用
收藏
页码:2345 / 2362
页数:18
相关论文
共 91 条
[1]   Hotel online reviews: different languages, different opinions [J].
Antonio, Nuno ;
de Almeida, Ana ;
Nunes, Luis ;
Batista, Fernando ;
Ribeiro, Ricardo .
INFORMATION TECHNOLOGY & TOURISM, 2018, 18 (1-4) :157-185
[2]  
Antonio Victor., 2018, Harvard Business Review
[3]   Demystifying AI: What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence [J].
Brock, Jurgen Kai-Uwe ;
von Wangenheimz, Florian .
CALIFORNIA MANAGEMENT REVIEW, 2019, 61 (04) :110-134
[4]  
Bu NP, 2021, Journal of Management and Strategy, V12, P1, DOI [10.5430/jms.v12n2p1, 10.5430/JMS.V12N2P1, DOI 10.5430/JMS.V12N2P1]
[5]   Voice assistants in hospitality: using artificial intelligence for customer service [J].
Buhalis, Dimitrios ;
Moldavska, Iuliia .
JOURNAL OF HOSPITALITY AND TOURISM TECHNOLOGY, 2022, 13 (03) :386-403
[6]   Bridging marketing theory and big data analytics: The taxonomy of marketing attribution [J].
Buhalis, Dimitrios ;
Volchek, Katerina .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2021, 56
[7]   Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article [J].
Buhalis, Dimitrios .
TOURISM REVIEW, 2020, 75 (01) :267-272
[8]   Technological disruptions in services: lessons from tourism and hospitality [J].
Buhalis, Dimitrios ;
Harwood, Tracy ;
Bogicevic, Vanja ;
Viglia, Giampaolo ;
Beldona, Srikanth ;
Hofacker, Charles .
JOURNAL OF SERVICE MANAGEMENT, 2019, 30 (04) :484-506
[9]   Real-time co-creation and nowness service: lessons from tourism and hospitality [J].
Buhalis, Dimitrios ;
Sinarta, Yeyen .
JOURNAL OF TRAVEL & TOURISM MARKETING, 2019, 36 (05) :563-582
[10]  
Bulchand-Gidumal J., 2020, Handbook of e-Tourism, P1, DOI [10.1007/978-3-030-05324-6_110-1, DOI 10.1007/978-3-030-05324-6_110-1]