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Survey structural-model evidence

AI personalization may increase travel-platform use despite continuing autonomy and privacy concerns

Using SOR and Psychological Reactance Theory, the study proposes a Threat-Substitution Mechanism for high-involvement online travel decisions. PLS-SEM on 488 Chinese Gen Y/Z OTA users found AI personalization increased usage intention and reduced reactance, with partial mediation. Privacy concern strengthened the negative AIP-reactance relationship, interpreted as heightened threat-appraisal sensitivity rather than uniform resistance.

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Key findings

  • AIP increased intention and reduced reactance; reactance partially mediated; privacy concern moderated the AIP-reactance path; utilitarian benefits dominated while friction remained.
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Why this matters globally

Platforms should combine useful personalization with autonomy controls, explanation and privacy choices rather than hidden tracking, because durable adoption depends on utility and control.

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Thai researcher contribution

Hongmei Duan and Ahmad Yahya Dawod are affiliated with Chiang Mai University in cross-country AI commerce and user-behavior research.

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Limitations to consider

Chinese Gen Y/Z OTA users do not represent other populations. Cross-sectional PLS-SEM does not establish causality or actual continuance. Construct wording and common-method variance may shape paths, and the counterintuitive moderation needs behavioral replication.

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Verify the original sources

Journal of Theoretical and Applied Electronic Commerce ResearchRead the original article

DOI: 10.3390/jtaer21040127

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