The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Destination Governance: Using Corporate Governance Theories as a Foundation for Effective Destination Management
Abstract
This article adds to the ongoing debate on the performance of corporate-based versus community-based destination management models. New forms of integrated, centrally managed destinations challenge the business models of traditional, historically grown destinations driven by decentralized ownership. This article analyzes the contribution of corporate governance theories to the explanation of destination governance structures and evolution. The research uses six selected dimensions of corporate governance, and the operationalization through concrete items, to analyze and assess twelve destinations in the Swiss Alps. Various destination governance forms and mechanisms reveal the context for conditions for success.
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Cites
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Handbook of Qualitative Research.
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DOES FAMILIARITY BREED TRUST? THE IMPLICATIONS OF REPEATED TIES FOR CONTRACTUAL CHOICE IN ALLIANCES.
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Cited by
Collaborative governance in tourism: lessons from Etorkizuna Eraikiz in the Basque Country, Spain
Barandiarán, X., Restrepo, N., & Luna, Á. (2019) · Tourism Review · doi:10.1108/tr-09-2018-0133 · Cited by 38
Metadata
- Authors
- Beritelli, P., Bieger, T., & Laesser, C.
- Venue
- Journal of Travel Research
- Publisher
- SAGE Publications
- Published
- 2007-08
- Volume
- 46
- Issue
- 1
- Pages
- 96-107
- ISSN
- 0047-2875 (ISSN-L)
- 1552-6763
- OpenAlex
- W2164142594
- Cited by
- 389
- References
- 25
- FWCI
- 19.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- Beritelli, P., Bieger, T., & Laesser, C. (2007). Destination Governance: Using Corporate Governance Theories as a Foundation for Effective Destination Management. Journal of Travel Research. https://doi.org/10.1177/0047287507302385
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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.