Perceptions and acceptance of guestroom control technologies: a cross-cultural study

Purpose This study evaluates whether four predictors from the Unified Theory of Acceptance and Use of Technology (UTAUT) and one from Protection Motivation Theory significantly influence hotel guests' intentions to use two types of guestroom control technologies: Hotel Mobile Apps (HMAs) and In-room Voice Assistants (IVAs). It further examines the mediating role of performance expectancy between effort expectancy and intentions to use, and the moderating role of culture in the relationships between these antecedents and usage intentions. Design/methodology/approach Data were collected from 203 USA and 220 Chinese participants. The hypotheses were examined using structural equation modeling and multigroup analysis. Findings The results shows that performance expectancy and facilitating conditions were pivotal in shaping guests' acceptance of HMAs and IVAs in both US and Chinese groups. Performance expectancy mediated the relationship between effort expectancy and intentions to use both technologies in both groups. The effect of facilitating conditions on intentions to utilize IVAs was significantly stronger for the US group, suggesting a moderating effect of culture. Practical implications This research offers practical insights for hotel managers and technology vendors aiming to improve the adoption of guestroom control technologies. Originality/value This study fills gaps in the existing literature by developing and empirically testing a guestroom control technology adoption model across two distinct cultural groups.

Institutions

Publication Details

Journal
Journal of Hospitality and Tourism Insights
Published
2025-11-28
DOI
https://doi.org/10.1108/jhti-02-2025-0318
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perceptions and acceptance of guestroom control technologies: a cross-cultural study

Journal of Hospitality and Tourism Insights
AI in Service Interactions
article

Perceptions and acceptance of guestroom control technologies: a cross-cultural study

article en

Abstract

Purpose This study evaluates whether four predictors from the Unified Theory of Acceptance and Use of Technology (UTAUT) and one from Protection Motivation Theory significantly influence hotel guests' intentions to use two types of guestroom control technologies: Hotel Mobile Apps (HMAs) and In-room Voice Assistants (IVAs). It further examines the mediating role of performance expectancy between effort expectancy and intentions to use, and the moderating role of culture in the relationships between these antecedents and usage intentions. Design/methodology/approach Data were collected from 203 USA and 220 Chinese participants. The hypotheses were examined using structural equation modeling and multigroup analysis. Findings The results shows that performance expectancy and facilitating conditions were pivotal in shaping guests' acceptance of HMAs and IVAs in both US and Chinese groups. Performance expectancy mediated the relationship between effort expectancy and intentions to use both technologies in both groups. The effect of facilitating conditions on intentions to utilize IVAs was significantly stronger for the US group, suggesting a moderating effect of culture. Practical implications This research offers practical insights for hotel managers and technology vendors aiming to improve the adoption of guestroom control technologies. Originality/value This study fills gaps in the existing literature by developing and empirically testing a guestroom control technology adoption model across two distinct cultural groups.

Journal of Hospitality and Tourism Insights
University of Nevada, Las Vegas (US)
Openalex Percentile: Top 21%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Perceptions and acceptance of guestroom control technologies: a cross-cultural study · Journal of Hospitality and Tourism Insights (2025) | TGRS Research Map | TGRS