Cross-Cultural Factors in Tourists’ Continuance Intention Toward XR for Built Heritage Conservation: A Case Study of Badaling Great Wall

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Authors: Yage Lu, Gaofeng Mi
Cited by: 1
References: 108

Abstract

As sustainable tourism gains global momentum, extended reality (XR) technologies have emerged as important tools for enhancing visitor experiences at overburdened World Heritage Sites while mitigating physical deterioration through non-consumptive engagement. However, existing research on immersive technologies in heritage tourism has largely relied on single-cultural samples and has paid limited attention to theoretically grounded boundary conditions in post-adoption behaviour. To address these gaps, this study extends the Expectation–Confirmation Model (ECM) by incorporating cultural distance (CD) and prior visitation experience (PVE) as moderating variables, and empirically tests the proposed framework using a mixed domestic–international sample exposed to an on-site XR application at the Badaling Great Wall World Heritage Site. Data were collected immediately after the XR experience and analysed using structural equation modelling. The results validate the core relationships of ECM while identifying significant moderating effects. Cultural distance attenuates the positive effects of confirmation on perceived usefulness as well as the effect of perceived usefulness on continuance intention, while prior visitation experience weakens the influences of enjoyment and visual appeal on satisfaction. These findings establish important boundary conditions for ECM in immersive heritage contexts. From a practical perspective, the study demonstrates that high-quality, culturally responsive XR can complement physical visitation and support sustainable conservation strategies at large-scale linear heritage sites.

Fields of Study & Subjects

Augmented Reality Applications Virtual Reality Applications and Impacts Museums and Cultural Heritage

Publication details

Journal / source
Buildings
Publisher
MDPI AG
Volume
16
Issue
2
Pages
360–360
Publication date
15 January 2026
Language
EN