To read this content please select one of the options below:

Artificial intelligence research in hospitality: a state-of-the-art review and future directions

Rob Law (Department of Integrated Resort and Tourism Management, Faculty of Business Administration, Asia-Pacific Academy of Economics and Management, University of Macau, Macao SAR, China)
Katsy Jiaxin Lin (Department of Integrated Resort and Tourism Management, Faculty of Business Administration, Asia-Pacific Academy of Economics and Management, University of Macau, Macao SAR, China)
Huiyue Ye (Department of Integrated Resort and Tourism Management, Faculty of Business Administration, Asia-Pacific Academy of Economics and Management, University of Macau, Macao SAR, China)
Davis Ka Chio Fong (Department of Integrated Resort and Tourism Management, Faculty of Business Administration, University of Macau, Macao SAR, China)

International Journal of Contemporary Hospitality Management

ISSN: 0959-6119

Article publication date: 11 August 2023

Issue publication date: 29 April 2024

2291

Abstract

Purpose

The purpose of this study is to analyze state-of-the-art knowledge of artificial intelligence (AI) research in hospitality.

Design/methodology/approach

This study adopts the theory-context-methods framework to systematically review 100 AI-related articles recently published (i.e. from 2021 to April 2023) in three top-tier hospitality journals, namely, the International Journal of Contemporary Hospitality Management, International Journal of Hospitality Management and Journal of Hospitality Marketing and Management.

Findings

Findings suggest that studies of AI applications in hospitality are mostly theory-driven, whereas most AI methods research adopts a data-driven approach. State-of-the-art AI applications research exhibits the most interest in service robots. In AI methods research, little attention was paid to the amid-service/experience.

Research limitations/implications

This study reveals inadequacies in theory, context and methods in contemporary AI research. More research from hospitality suppliers’ perspectives and research on generative AI applications are advocated in response to the unveiled research gaps and recent AI developments.

Originality/value

This study classifies the most recent AI research in hospitality into two main streams – AI applications research and AI methods research – and discusses the gaps in each research stream and latest AI developments. The paper then suggests future research directions to guide researchers in advancing AI research in hospitality.

Keywords

Acknowledgements

This research was partly supported by research grants (SRG2021-00009-APAEM, MYRG2022-00098-APAEM, CPG2023-00007-APAEM, SP2023-00005-DRTM) funded by the University of Macau.

Citation

Law, R., Lin, K.J., Ye, H. and Fong, D.K.C. (2024), "Artificial intelligence research in hospitality: a state-of-the-art review and future directions", International Journal of Contemporary Hospitality Management, Vol. 36 No. 6, pp. 2049-2068. https://doi.org/10.1108/IJCHM-02-2023-0189

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

Related articles