The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Review of Data-Driven Market Segmentation in Tourism
Abstract
Clustering has become a very popular way of identifying market segments based on survey data. The number of published segmentation studies has strongly increased since the milestone publication on benefit segmentation by Haley in 1968. Nevertheless, numerous very fundamental weaknesses are permanently encountered when studying segmentation studies in detail, thus making the results reported more than questionable. This article illustrates how data-driven segmentation studies are typically conducted in the field of tourism research, provides a systematic overview of applications published in the last decades, outlines critical issues that often lead to overestimation of the validity of results and offers solutions or recommendations that help both the researcher to keep the critical issues in mind as well as the management to evaluate the validity and usefulness of the study.
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Citations
Cites
Finding Groups in Data: An Introduction to Cluster Analysis
Kaufman, L., & Rousseeuw, P. J. (1990) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316801 · Cited by 7,344
Risk Perceptions and Pleasure Travel: An Exploratory Analysis
Roehl, W. S., & Fesenmaier, D. R. (1992) · Journal of Travel Research · doi:10.1177/004728759203000403 · Cited by 868
Cited by
Valls, A., Gibert, K., Orellana, A., & Antón-Clavé, S. (2018) · Information & Management · doi:10.1016/j.im.2017.05.002 · Cited by 50
Metadata
- Authors
- Dolnicar, S.
- Venue
- Journal of Travel & Tourism Marketing
- Publisher
- Informa UK Limited
- Published
- 2002-07-12
- Volume
- 12
- Issue
- 1
- Pages
- 1-22
- ISSN
- 1054-8408 (ISSN-L)
- 1540-7306
- OpenAlex
- W2087070785
- Cited by
- 402
- References
- 2
- FWCI
- 26.61
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
