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Cited by 357

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Residents’ Support for Tourism: Testing Alternative Structural Models

Nunkoo, Robin, So, Kevin Kam Fung·2016·Journal of Travel Research

Abstract

Social exchange theory (SET) has made significant contributions to research on residents’ support for tourism. Nevertheless, studies are based on an incomplete set of variables and are characterized by alternative, yet contradictory, and theoretically sound research propositions. Using key constructs of SET, this study develops a baseline model of residents’ support and compares it with four competing models. Each model contains the terms of the baseline model and additional relationships reflecting alternative theoretical possibilities. The models were tested using data collected from residents of Niagara Region, Canada. Results indicated that in the best fitted model, residents’ support for tourism was influenced by their perceptions of positive impacts. Residents’ power and their trust in government significantly predicted their life satisfaction and their perceptions of positive impacts. Personal benefits from tourism significantly influenced residents’ perceptions of the positive and negative impacts of tourism. The study provides valuable and clearer insights on relationships among SET variables.

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Metadata

Authors
Nunkoo, R., & So, K. K. F.
Venue
Journal of Travel Research
Published
2016-08-05
Volume
55
Issue
7
Pages
847-861
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W754917385
Cited by
357
References
11
FWCI
57.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Residents’ Support for Tourism: Testing Alternative Structural Models. https://app.cochat.ai/papers/10.1177/0047287515592972
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Nunkoo, R., & So, K. K. F. (2016). Residents’ Support for Tourism: Testing Alternative Structural Models. Journal of Travel Research. https://doi.org/10.1177/0047287515592972

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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.