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Cited by 256

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Role of trust, emotions and event attachment on residents' attitudes toward tourism

Open access
Ouyang, Zhe, Gursoy, Dogan, Sharma, Bishnu·2017·Tourism Management

Abstract

This study examines the effects of residents' trust in government and their emotions toward an event on their perceptions of potential impacts and their support. This study also examines the moderating role of event attachment on the strength of relationships between residents' trust in government and their impacts perceptions, emotional responses, and as well as their support based on social exchange theory and cognitive appraisal theory. Findings clearly indicate that residents' support is a function of both cognitive and affective assessment of perceived impacts. Trust in government influences directly residents' support and indirectly through perceived impacts and experienced emotions toward an event. Findings further suggest that level of event attachment moderates the effects of trust on residents’ perceptions of impacts, their emotions, as well as on their support.

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Crossref · 10.1016/j.tourman.2017.06.026

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Metadata

Authors
Ouyang, Z., Gursoy, D., & Sharma, B.
Venue
Tourism Management
Publisher
Elsevier BV
Published
2017-12
Volume
63
Pages
426-438
ISSN
0261-5177 (ISSN-L)
OpenAlex
W2738517117
Cited by
256
References
82
FWCI
48.22
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Role of trust, emotions and event attachment on residents' attitudes toward tourism. https://app.cochat.ai/papers/10.1016/j.tourman.2017.06.026
The paper
Ouyang, Z., Gursoy, D., & Sharma, B. (2017). Role of trust, emotions and event attachment on residents' attitudes toward tourism. Tourism Management. https://doi.org/10.1016/j.tourman.2017.06.026

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.