Smart Outdoor Furniture in Tourism-Oriented Rural Villages: Pathways Towards Becoming Inclusive and Sustainable

As the development of “smart villages” and “sustainable rural tourism” increasingly becomes a focal point on the global policy agenda, tourism-oriented villages are experiencing a growing demand for digital infrastructure transformation. Against this backdrop, smart outdoor furniture emerges as a noteworthy intervention. However, existing designs for smart outdoor furniture predominantly originate from urban contexts, often failing to align with the distinct preferences, behavioural patterns, and cultural identity of rural users. This study employs a mixed-methods approach, combining Q-methodology with an extended Technology Acceptance Model (TAM), to explore rural users’ technology acceptance pathways. Through Q-sorting, four typical attitude structures were identified: Pragmatic Function-Oriented, Cultural Concern-Oriented, Smart Enhancement-Oriented, and Technology Anxiety-Oriented. These qualitative insights were integrated into an extended TAM framework and validated through a structured survey (n = 319) using Partial Least Squares Structural Equation modelling (PLS-SEM). Findings confirm that Perceived Usefulness and Perceived Ease of Use remain the strongest predictors of user attitude and behavioural intention. Among contextual factors, Function Configuration exerts significant positive influence on both PU and PEOU; Cultural Adaptation significantly enhances PU; Social Influence primarily affects PEOU; Smart Features moderately influence both dimensions; and Perceived Cost Structure affects only PU. This research extends the applicability of the TAM model within rural socio-technical contexts. It provides empirical reference for inclusive and sustainable digital infrastructure design in tourism-oriented villages, while offering practical insights and dissemination pathways for smart design strategies in public spaces within similar socio-cultural environments.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-11-07
DOI
https://doi.org/10.3390/su17229972
Citations
1
Primary Topic
Q Methodology Applications
Type
article
Field-Weighted Citation Impact
2.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Outdoor Furniture in Tourism-Oriented Rural Villages: Pathways Towards Becoming Inclusive and Sustainable

Jizhou Chen, Xinyu Duan, Rong Zhu, Kexin Wei et al.
1 citations
Sustainability
Q Methodology Applications
2.11
article

Smart Outdoor Furniture in Tourism-Oriented Rural Villages: Pathways Towards Becoming Inclusive and Sustainable

Jizhou Chen, Xinyu Duan, Rong Zhu, Kexin Wei, Xiaobin Li
article en
1 citations

Abstract

As the development of “smart villages” and “sustainable rural tourism” increasingly becomes a focal point on the global policy agenda, tourism-oriented villages are experiencing a growing demand for digital infrastructure transformation. Against this backdrop, smart outdoor furniture emerges as a noteworthy intervention. However, existing designs for smart outdoor furniture predominantly originate from urban contexts, often failing to align with the distinct preferences, behavioural patterns, and cultural identity of rural users. This study employs a mixed-methods approach, combining Q-methodology with an extended Technology Acceptance Model (TAM), to explore rural users’ technology acceptance pathways. Through Q-sorting, four typical attitude structures were identified: Pragmatic Function-Oriented, Cultural Concern-Oriented, Smart Enhancement-Oriented, and Technology Anxiety-Oriented. These qualitative insights were integrated into an extended TAM framework and validated through a structured survey (n = 319) using Partial Least Squares Structural Equation modelling (PLS-SEM). Findings confirm that Perceived Usefulness and Perceived Ease of Use remain the strongest predictors of user attitude and behavioural intention. Among contextual factors, Function Configuration exerts significant positive influence on both PU and PEOU; Cultural Adaptation significantly enhances PU; Social Influence primarily affects PEOU; Smart Features moderately influence both dimensions; and Perceived Cost Structure affects only PU. This research extends the applicability of the TAM model within rural socio-technical contexts. It provides empirical reference for inclusive and sustainable digital infrastructure design in tourism-oriented villages, while offering practical insights and dissemination pathways for smart design strategies in public spaces within similar socio-cultural environments.

SustainabilityVol. 17(22)
Jiangnan University (CN)
Jiangnan University
Openalex Percentile: Top 9%
Q Methodology Applications
2.11
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.