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Cognitive and affective drivers of VR adoption in heritage tourism: Integrating UTAUT and Anticipated emotions

nature.com 01.10.2026 02:00 4 views

While the potential of Virtual Reality (VR) in destination marketing is recognized, tourists’ motivations to adopt it remain underexplored. This paper investigates cognitive and affective factors influencing intentions to use VR in heritage tourism contexts. Integrating the Unified Theory of Acceptance and Use of Technology with Anticipated Emotion, an online survey was conducted on 626 respondents.

Structural Equation Modelling-Partial Least Squares was employed to test the effects of cognitive and emotional predictors. Results reveal that Performance Expectancy, Effort Expectancy, Social Influence, Attitude, Positive and Negative Anticipated Emotions significantly predict VR adoption intentions. Findings further show that combining cognitive and affective antecedents enhances explanatory power.

For practitioners, the study offers strategies to promote VR in heritage sites by addressing both rational and emotional motivations, fostering pre-visit engagement and enriching on-site experiences. This represents the first integration of UTAUT and Anticipated Emotion in heritage destination marketing, offering a perspective on VR adoption among visitors. Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Via Raffaele Lambruschini 4b, Milan, Italy Matteo Lorandi, Marco Mandolfo, Michele Di Dalmazi & Giuliano Noci The authors declare no competing interests.

All methods were conducted in accordance with relevant guidelines and regulations. According to the policies of the authors’ affiliated university (Politecnico di Milano), this study, based on an anonymous online survey, was exempt from formal ethical review. Participation was voluntary, and informed consent was obtained from all participants before completing the survey.

Consent was indicated after participants read an information statement presented at the beginning of the questionnaire, in compliance with data protection regulations. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

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