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Cited by 351

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Management of immersive heritage tourism experiences: A conceptual model

Open access
Bec, Alexandra, Moyle, Brent, Timms, Ken, Schaffer, Vikki, Skavronskaya, Liubov, Little, Chris·2019·Tourism Management

Abstract

There is potential for immersive technology, such as augmented and virtual reality, to create memorable tourism experiences, specifically for heritage tourism. However, there is a lack of conceptual clarity surrounding the management of heritage for memorable tourism experiences. Subsequently, this research note proposes a four-stage conceptual model of heritage preservation for managing heritage into digital tourism experiences. The four stages include the presentation of historical facts; contested heritage; integration of historical facts and contested heritage; and/or an alternate scenario. This research note demonstrates that integrating history with cutting-edge technology in immersive environments has the potential to not only preserve and manage heritage but to enrich the visitor experience and subsequent engagement with history.

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Crossref · 10.1016/j.tourman.2018.10.033

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Metadata

Authors
Bec, A., Moyle, B., Timms, K., Schaffer, V., Skavronskaya, L., & Little, C.
Venue
Tourism Management
Publisher
Elsevier BV
Published
2019-06
Volume
72
Pages
117-120
ISSN
0261-5177 (ISSN-L)
OpenAlex
W2903375072
Cited by
351
References
0
FWCI
15.96
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Management of immersive heritage tourism experiences: A conceptual model. https://app.cochat.ai/papers/10.1016/j.tourman.2018.10.033
The paper
Bec, A., Moyle, B., Timms, K., Schaffer, V., Skavronskaya, L., & Little, C. (2019). Management of immersive heritage tourism experiences: A conceptual model. Tourism Management. https://doi.org/10.1016/j.tourman.2018.10.033

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.