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Cited by 304

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Conceptualizing the Visitor Experience: A Review of Literature and Development of a Multifaceted Model

Packer, Jan, Ballantyne, Roy·2016·Visitor Studies

Abstract

Although commonly considered the core product offered by visitor attractions such as museums, zoos, and heritage sites, the visitor experience has proved a difficult construct to both define and measure. This article reviews the concept of visitor experience, drawing from literature in tourism and leisure research as well as museum and visitor studies, and identifies a number of issues on which the literature presents multiple perspectives. By clarifying these issues, this article takes a first step toward building a shared vocabulary to describe and measure visitor experiences. The article presents a conceptual scheme that describes relationships among key factors, and a multifaceted model of the visitor experience that offers a way of characterizing both its content and intensity. The article thus provides a basis for future research designed to capture this elusive phenomenon.

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Crossref · 10.1080/10645578.2016.1144023

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Metadata

Authors
Packer, J., & Ballantyne, R.
Venue
Visitor Studies
Published
2016-07-02
Volume
19
Issue
2
Pages
128-143
ISSN
  • 1064-5578 (ISSN-L)
  • 1934-7715
OpenAlex
W2530630777
Cited by
304
References
3
FWCI
223.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Conceptualizing the Visitor Experience: A Review of Literature and Development of a Multifaceted Model. https://app.cochat.ai/papers/10.1080/10645578.2016.1144023
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Packer, J., & Ballantyne, R. (2016). Conceptualizing the Visitor Experience: A Review of Literature and Development of a Multifaceted Model. Visitor Studies. https://doi.org/10.1080/10645578.2016.1144023

Data sources

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.