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

Artificial intelligence research in hospitality: a state-of-the-art review and future directions The purpose of this study is to analyze state-of-the-art knowledge of artificial intelligence (AI) research in hospitality.Design/methodology/approachThis 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.FindingsFindings 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/implicationsThis 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/valueThis 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Contemporary Hospitality Management Emerald Publishing

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

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References (59)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0959-6119
eISSN
0959-6119
DOI
10.1108/ijchm-02-2023-0189
Publisher site
See Article on Publisher Site

Abstract

The purpose of this study is to analyze state-of-the-art knowledge of artificial intelligence (AI) research in hospitality.Design/methodology/approachThis 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.FindingsFindings 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/implicationsThis 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/valueThis 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.

Journal

International Journal of Contemporary Hospitality Management – Emerald Publishing

Published: Apr 29, 2024

Keywords: Artificial intelligence; TCM framework; Systematic review; Hospitality; Service

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