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Determining the Key Drivers for the Acceptance and Usage of AR and VR in Cultural Heritage Monuments

Author

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  • Xinlu Wen

    (Ningbo University-University of Angers Joint Institute, Ningbo University, Ningbo 315211, China)

  • Marios Sotiriadis

    (Ningbo University-University of Angers Joint Institute, Ningbo University, Ningbo 315211, China)

  • Shiwei Shen

    (Ningbo University-University of Angers Joint Institute, Ningbo University, Ningbo 315211, China)

Abstract

An increasing number of visitor attractions and monuments are designing and implementing augmented reality (AR) and virtual reality (VR) technologies and services to enhance tourists’ experiences and make their visit more attractive and enjoyable. It is essential to acquire an in-depth understanding of AR/VR applications and their influence on consumers’ experience. This paper set to investigate the key factors influencing tourists to adopt and use AR and VR applications by exploring the consumers’ perceptions within the cultural heritage settings, focusing on the use of technological tools during the on-site experience (core service experience). This study applied the Ntheoretical basis of the Unified Theory of Acceptance and Use of Technology (UTAUT2) and suggested a research model of twelve hypotheses. The latter was empirically investigated within the Chinese context in two cultural heritage monuments. The findings indicated that AR/VR technology plays an important role in influencing the tourism experience. Performance expectancy, price value, habit, personal innovativeness, and involvement significantly positively affect behavioral intention. The most important drivers are price value and facilitating conditions. This study’s contribution is twofold: (i) theoretical, by elaborating an extended framework for digital technologies implemented in a challenging field of visitors’ experience, and (ii) practical, by formulating a set of suggestions for industry practitioners as well as designers and developers of AR/VR applications regarding the effective design and implementation of AR/VR technologies in cultural heritage monuments.

Suggested Citation

  • Xinlu Wen & Marios Sotiriadis & Shiwei Shen, 2023. "Determining the Key Drivers for the Acceptance and Usage of AR and VR in Cultural Heritage Monuments," Sustainability, MDPI, vol. 15(5), pages 1-24, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4146-:d:1079648
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    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Celine Zhao Ying Yin & Timothy Jung & M. Claudia tom Dieck & Maria Younghee Lee, 2021. "Mobile Augmented Reality Heritage Applications: Meeting the Needs of Heritage Tourists," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Eleanor E. Cranmer & M. Claudia Dieck & Timothy Jung, 2018. "How can Tourist Attractions Profit from Augmented Reality?," Progress in IS, in: Timothy Jung & M. Claudia tom Dieck (ed.), Augmented Reality and Virtual Reality, pages 21-32, Springer.
    5. Seokho Han & Ji-Hwan Yoon & Jookyung Kwon, 2021. "Impact of Experiential Value of Augmented Reality: The Context of Heritage Tourism," Sustainability, MDPI, vol. 13(8), pages 1-13, April.
    6. Azizul Hassan & Erdogan Ekiz & Sumesh S. Dadwal & Geoff Lancaster, 2018. "Augmented Reality Adoption by Tourism Product and Service Consumers: Some Empirical Findings," Progress in IS, in: Timothy Jung & M. Claudia tom Dieck (ed.), Augmented Reality and Virtual Reality, pages 47-64, Springer.
    7. Kuttimani Tamilmani & Nripendra P. Rana & Yogesh K. Dwivedi, 2021. "Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2," Information Systems Frontiers, Springer, vol. 23(4), pages 987-1005, August.
    8. Chi-Yo Huang & Yu-Sheng Kao, 2015. "UTAUT2 Based Predictions of Factors Influencing the Technology Acceptance of Phablets by DNP," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-23, August.
    9. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    10. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    11. Ramon Palau-Saumell & Santiago Forgas-Coll & Javier Sánchez-García & Emilio Robres, 2019. "User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    12. Timothy Jung & M. Claudia tom Dieck & Hyunae Lee & Namho Chung, 2020. "Relationships among Beliefs, Attitudes, Time Resources, Subjective Norms, and Intentions to Use Wearable Augmented Reality in Art Galleries," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
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    1. Jiahui Guo & Younghwan Pan, 2023. "What Factors Impact Visitors’ Intentions to Use Location-Based AR Games? An Empirical Study from Chinese Cultural Heritage Sites," Sustainability, MDPI, vol. 15(19), pages 1-18, September.

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