The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Travel Motivations of Japanese Overseas Travelers: A Factor-Cluster Segmentation Approach
Abstract
Using a factor-cluster market segmentation approach, this study attempted to delineate the motivations of Japanese travelers who travel abroad for pleasure. Based on six delineated push motivation factors, cluster analysis was employed to identify similar respondents based on their motivations. The findings show that there are three distinct groups: sports seekers, novelty seekers, and family/relaxation seekers. Age and education variables were shown to be statistically significant among the three groups. The article concludes with market ing implications of the study results and suggestions for future research.
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
Motivations for pleasure vacation
Crompton, J. L. (1979) · Annals of Tourism Research · doi:10.1016/0160-7383(79)90004-5 · Cited by 3,534
Cited by
Market segments of Push and pull motivations: A canonical correlation approach
Baloglu, S., & Uysal, M. (1996) · International Journal of Contemporary Hospitality Management · doi:10.1108/09596119610115989 · Cited by 512
Self-citationMoney, R. B., & Crotts, J. C. (2003) · Tourism Management · doi:10.1016/s0261-5177(02)00057-2 · Cited by 448
Morakabati, Y., & Kapuściński, G. (2016) · International Journal of Tourism Research · doi:10.1002/jtr.2068 · Cited by 50
Dance as a Tourism Activity: Demographics, Demand Characteristics, Motivation, and Segmentation
McCleary, K. W., Weaver, P. A., & Meng, F. (2005) · Tourism Analysis · doi:10.3727/108354205775322970 · Cited by 36
Self-citation
Metadata
- Authors
- Cha, S., Mccleary, K. W., & Uysal, M.
- Venue
- Journal of Travel Research
- Publisher
- SAGE Publications
- Published
- 1995-07
- Volume
- 34
- Issue
- 1
- Pages
- 33-39
- ISSN
- 0047-2875 (ISSN-L)
- 1552-6763
- OpenAlex
- W2126180295
- Cited by
- 524
- References
- 1
- FWCI
- 23.11
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Travel Motivations of Japanese Overseas Travelers: A Factor-Cluster Segmentation Approach. https://app.cochat.ai/papers/10.1177/004728759503400104
- The paper
- Cha, S., Mccleary, K. W., & Uysal, M. (1995). Travel Motivations of Japanese Overseas Travelers: A Factor-Cluster Segmentation Approach. Journal of Travel Research. https://doi.org/10.1177/004728759503400104
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.
