Exploring the impact of robot-based services on hotel brand image among senior consumers

Robot has introduced new opportunities for enhancing hotel brand image, yet few studies on hotel robots have focused on senior consumers. Drawing on the Information Systems Success (ISS) model, this study examines the impact of information quality, system quality, and service quality on senior consumers’ perceived privacy protection, trust, satisfaction, and hotel brand image in robot-based hotels. This study used Partial Least Squares Structural Equation Modeling to analyze 283 valid survey data. Findings show that information quality and system quality do not directly influence senior consumers’ perceived privacy protection. However, perceived trust and satisfaction positively impact hotel brand image. This research lend credence to the robustness of the ISS model by focusing on the use of hotel robots by senior consumers. Additionally, it provides managers with a deeper understanding of senior consumers’ attitudes toward hotel robots and their influence on hotel brand image.

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Publication Details

Journal
Journal of Hospitality Marketing & Management
Published
2026-08-27
DOI
https://doi.org/10.1080/19368623.2026.2721650
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

Exploring the impact of robot-based services on hotel brand image among senior consumers

Lawrence Hoc Nang Fong, Feifei Lin, Chris Zhu, C. Michael Hall et al.
Journal of Hospitality Marketing & Management
AI in Service Interactions
article

Exploring the impact of robot-based services on hotel brand image among senior consumers

Lawrence Hoc Nang Fong, Feifei Lin, Chris Zhu, C. Michael Hall, Xianger Chen
article en

Abstract

Robot has introduced new opportunities for enhancing hotel brand image, yet few studies on hotel robots have focused on senior consumers. Drawing on the Information Systems Success (ISS) model, this study examines the impact of information quality, system quality, and service quality on senior consumers’ perceived privacy protection, trust, satisfaction, and hotel brand image in robot-based hotels. This study used Partial Least Squares Structural Equation Modeling to analyze 283 valid survey data. Findings show that information quality and system quality do not directly influence senior consumers’ perceived privacy protection. However, perceived trust and satisfaction positively impact hotel brand image. This research lend credence to the robustness of the ISS model by focusing on the use of hotel robots by senior consumers. Additionally, it provides managers with a deeper understanding of senior consumers’ attitudes toward hotel robots and their influence on hotel brand image.

Journal of Hospitality Marketing & Management
Universiti Sains Malaysia (MY), Lund University (SE), University of Macau (MO), Shanghai Normal University (CN), University of Johannesburg (ZA), Hospital Universiti Sains Malaysia (MY), Massey University (NZ), Sunway University (MY), University of Oulu (FI)
Openalex Percentile: Top 8%
AI in Service Interactions
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