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Cited by 331

The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.

Residents’ impact perceptions of and attitudes towards tourism development: a meta-analysis

Gursoy, Dogan, Ouyang, Zhe, Nunkoo, Robin, Wei, Wei·2019·Journal of Hospitality Marketing & Management

Abstract

Applying a meta-analysis approach, this study examines the applicability of SET on explaining residents’ impact perceptions of and attitudes toward tourism development. Findings confirm the applicability of SET in tourism impact studies when assessing the impacts of perceived benefits (positive impacts) on support. Findings reveal that perceived benefits produce substantial effects on support while perceived costs (negative impacts) have trivial effects, which suggest that measures and indicators used to assess residents perceptions of perceived costs (negative impacts) may have validity problems. Moreover, a closer examination of the mean effects of five exogenous determinants of impact perceptions reveal that none of those variables have significant effects on the perceptions of negative impacts further suggesting possible problems with the operationalization of negative impact perceptions. Findings clearly suggest that a closer examination of the measurement items used to assess the negative impact perceptions of tourism impacts is needed.

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Metadata

Authors
Gursoy, D., Ouyang, Z., Nunkoo, R., & Wei, W.
Venue
Journal of Hospitality Marketing & Management
Published
2018-09-17
Volume
28
Issue
3
Pages
306-333
ISSN
  • 1936-8623 (ISSN-L)
  • 1936-8631
OpenAlex
W2892321301
Cited by
331
References
100
FWCI
10.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Residents’ impact perceptions of and attitudes towards tourism development: a meta-analysis. https://app.cochat.ai/papers/10.1080/19368623.2018.1516589
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Gursoy, D., Ouyang, Z., Nunkoo, R., & Wei, W. (2019). Residents’ impact perceptions of and attitudes towards tourism development: a meta-analysis. Journal of Hospitality Marketing & Management. https://doi.org/10.1080/19368623.2018.1516589

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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.