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User-centric design experience or privacy risk perception? The dual pathways of tourism platform’s AI capability to perceived user value

Bibliographic Data

ID21699145
AuthorsMingchuan Yu (0000-0001-7576-509X, Ningbo Dahongying University), Wenyi Jiang (0000-0002-3446-6189, Shanghai Vocational College of Agriculture and Forestry), Yu Wan (0000-0002-7310-7883, Honghe University, corresponding author), Anran Mao (Université Paris-Saclay)
Year2026
Volume29
Issue7
Pages1376-1393
Publication date2026-04-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCurrent Issues in Tourism (JOURNAL)
Journal identifiersISSN: 1368-3500 • E-ISSN: 1747-7603
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13683500.2024.2394569
OpenAlexW4401908657
LanguageEN
Citations received2
References cited64

According to the theory of data network effect, this study investigates the dual-pathway impact mechanism of a platform’s artificial intelligence (AI) capability on the users’ perceived value of tourism platforms through experienced user-centric design and perceived private privacy. A sample of 220 users from tourism platforms were surveyed using a two-wave survey method to test the hypotheses. The results indicate that the AI capability of a platform positively influenced perceived user value through experienced user-centric design, while negatively affecting perceived user value through perceived privacy risk. Additionally, the findings suggest that data stewardship strengthens the relationship between AI capability and experienced user-centric design. Unexpectedly, data stewardship also strengthens the relationship between AI capability and perceived privacy risk. We also discussed the theoretical and practical implications of the findings on the dual-pathway effect of platforms’ AI capability, as well as suggestions for future research

Business · Geography · Human–computer interaction · Internet privacy · Perception · Risk perception · Tourism · User experience design · User-Centered Design · AI in Service Interactions · Computer Science · Digital Marketing and Social Media · Psychology · Technology Adoption and User Behaviour · Marketing

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Unique citing works2
Citations per year2
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae