Paper Title: AI-enabled factors influencing cultural heritage conservation and tourism development towards tourist experience quality
Authors: Ying Long, Daranee Pimchangthong, Kang Li
Corresponding Author: Daranee Pimchangthong (daranee.p@mail.rmutk.ac.th)/ Thailand
Abstract
This research examines the impact of AI technology on the quality of tourist experiences at cultural heritage sites, utilizing an integrated Technology-Organization-Environment (TOE) framework. Analyzing 200 UNESCO World Heritage Sites with 52,847 reviews (2020-2024) using Structural Equation Modeling, we found AI creates dual value pathways: conservation technology enhances heritage value (β=0.45, p<0.001), which strongly influences experience quality (β=0.51, p<0.001), while tourism technology strengthens immersive experiences (β=0.58, p<0.001), which also enhance quality (β=0.36, p<0.001). Both paths significantly improve tourist experience quality, with direct effects of β=0.21 (p<0.01) and β=0.34 (p<0.001) respectively. The integrated model explains 59% of experience quality variance (R²=0.59), superior to alternative specifications. Multi-group analysis reveals technology readiness significantly moderates direct effects (Δβ=0.24-0.25), with sophisticated visitors showing 2-3 times stronger responses, while heritage value appreciation remains universal across digital literacy levels. Findings demonstrate AI enhances rather than diminishes authenticity, with cognitive-emotional appreciation surpassing technological immersion in driving satisfaction.
Keywords
Artificial intelligence, Cultural heritage tourism, Tourist experience quality, Structural equation modeling, Technology-Organization-Environment framework
Cite:
Long, Y., Pimchangthong, D., Liu, Y., & Li, K. (2025). AI-enabled factors influencing cultural heritage conservation and tourism development towards tourist experience quality. Future Technology, 5(1), 159–167. Retrieved from https://fupubco.com/futech/article/view/613