The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Pine and Gilmore's Concept of Experience Economy and Its Dimensions: An Empirical Examination in Tourism
Abstract
The growing attention placed on experiences can be regarded as a mega-trend, and has given currency to the proposition that experiences function as a personal source of information for the stories people tell about their lives and are important for their self-perception. This view implies the significance of experiences of individual satisfaction with a given product or visit. To assess this assumption, we have made use of Pine and Gilmore's widely known model, and in so doing have empirically examined the applicability of their concept of an “experience economy” and its four dimensions (education, escapism, esthetics, and entertainment). The necessary data were collected from two tourism contexts, the Ice Music Festival and the Maihaugen Museum. The results indicate that Pine and Gilmore's model can further our understanding of the experience market. However, the findings show that different experiential dimensions influence the visitors' overall satisfaction in different contexts. For instance, while the dimension of escapism has a significant effect on the visitors' overall satisfaction in the case of the Ice Music Festival, the dimension of education significantly influences the visitors' satisfaction at the Maihaugen Museum. The theoretical and practical implications of this study are also discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
Servicescapes: The Impact of Physical Surroundings on Customers and Employees
Bitner, M. J. (1992) · Journal of Marketing · doi:10.2307/1252042 · Cited by 7,271
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
Cited by
Co-creation of tourist experiences: a literature review
Campos, A. C., Mendes, J., Valle, P. O. D., & Scott, N. (2018) · Current Issues in Tourism · doi:10.1080/13683500.2015.1081158 · Cited by 655
The accommodation experiencescape: a comparative assessment of hotels and Airbnb
Mody, M. A., Suess, C., & Lehto, X. (2017) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2016-0501 · Cited by 379
Ali, F., Hussain, K., & Ragavan, N. A. (2014) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2014.07.296 · Cited by 206
Mackenzie, S. H., Son, J. S., & Eitel, K. (2018) · Journal of Outdoor Recreation and Tourism · doi:10.1016/j.jort.2018.01.008 · Cited by 90
Hwang, J., Abbas, J., Joo, K., Choo, S.-W., & Hyun, S. S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063430 · Cited by 62
Signals and Signposts of the Future: Literary Festival Consumption in 2050
Robertson, M., & Yeoman, I. (2014) · Tourism Recreation Research · doi:10.1080/02508281.2014.11087004 · Cited by 27
Metadata
- Authors
- Mehmetoglu, M., & Engen, M.
- Venue
- Journal of Quality Assurance in Hospitality & Tourism
- Publisher
- Informa UK Limited
- Published
- 2011-10
- Volume
- 12
- Issue
- 4
- Pages
- 237-255
- ISSN
- 1528-008X (ISSN-L)
- 1528-0098
- OpenAlex
- W2018502304
- Cited by
- 485
- References
- 3
- FWCI
- 16.07
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.