The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
A Conceptual Model of Medical Tourism: Implications for Future Research
Abstract
An extensive review of the current literature reveals that no integrated theoretical framework for the holistic study of the medical tourism industry exists. This study, therefore, aims to fill this gap by proposing an integrated model for the investigation of this burgeoning tourism field. It is developed with a view to capturing the current situation of medical tourism in a given country or region from the supply and demand perspectives. Both qualitative and quantitative techniques are suggested as systematic tools to test and validate the model. This study not only has implications for future research, but also provides useful information for practitioners in the medical tourism industry.
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Cites
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Social Research Methods: Qualitative and Quantitative Approaches
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Golafshani, N. (2015) · The Qualitative Report · doi:10.46743/2160-3715/2003.1870 · Cited by 5,157
Motivations for pleasure vacation
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Services Marketing: Integrating Customer Focus Across the Firm
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Cited by
Contemporary medical tourism: Conceptualisation, culture and commodification
Connell, J. (2013) · Tourism Management · doi:10.1016/j.tourman.2012.05.009 · Cited by 686
Metadata
- Authors
- Heung, V. C. S., Kucukusta, D., & Song, H.
- Venue
- Journal of Travel & Tourism Marketing
- Publisher
- Informa UK Limited
- Published
- 2010-04-30
- Volume
- 27
- Issue
- 3
- Pages
- 236-251
- ISSN
- 1054-8408 (ISSN-L)
- 1540-7306
- OpenAlex
- W1967734447
- Cited by
- 327
- References
- 27
- FWCI
- 18.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Heung, V. C. S., Kucukusta, D., & Song, H. (2010). A Conceptual Model of Medical Tourism: Implications for Future Research. Journal of Travel & Tourism Marketing. https://doi.org/10.1080/10548401003744677
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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.