Closing the Gap: Advancing service management in the hospitality and tourism industry amidst the AI revolution

The Gaps Model of service quality has long been the keystone of the service management literature. This classic theoretical model offers valuable guidance for understanding the opportunities and challenges posed by the increasing adoption of artificial intelligence (AI) in service management. Drawing on recent research and practical insights, this research examines the impact of AI on each one of the service quality gaps identified in the Gaps Model. In addition, we discuss the dual potential of AI to either bridge or widen these gaps, cautioning for digitally responsible implementations of AI. Towards the end of the paper, we discuss future research directions to advance service management with AI integrations in the hospitality and tourism industry.

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Publication Details

Journal
Journal of Hospitality and Tourism Management
Published
2025-02-04
DOI
https://doi.org/10.1016/j.jhtm.2025.01.017
Citations
17
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
42.18
Controls
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article

Closing the Gap: Advancing service management in the hospitality and tourism industry amidst the AI revolution

Anna S. Mattila, Laurie Wu, Peihao Wang
17 citations
Journal of Hospitality and Tourism Management
AI in Service Interactions
42.18
article

Closing the Gap: Advancing service management in the hospitality and tourism industry amidst the AI revolution

Anna S. Mattila, Laurie Wu, Peihao Wang
article en
17 citations

Abstract

The Gaps Model of service quality has long been the keystone of the service management literature. This classic theoretical model offers valuable guidance for understanding the opportunities and challenges posed by the increasing adoption of artificial intelligence (AI) in service management. Drawing on recent research and practical insights, this research examines the impact of AI on each one of the service quality gaps identified in the Gaps Model. In addition, we discuss the dual potential of AI to either bridge or widen these gaps, cautioning for digitally responsible implementations of AI. Towards the end of the paper, we discuss future research directions to advance service management with AI integrations in the hospitality and tourism industry.

Journal of Hospitality and Tourism ManagementVol. 62
Pennsylvania State University (US), Temple University Hospital (US), Temple University (US)
Decent work and economic growth
Openalex Percentile: Top 0%
AI in Service Interactions
42.18
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