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
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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Cites
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Generalized expectancies for internal versus external control of reinforcement.
Rotter, J. B. (1966) · Psychological Monographs: General and Applied · doi:10.1037/h0092976 · Cited by 21,937
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Diener, E. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.3.542 · Cited by 11,023
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Akaike, H. (1987) · Psychometrika · doi:10.1007/bf02294359 · Cited by 5,264
Emerson, R. M. (1976) · Annual Review of Sociology · doi:10.1146/annurev.so.02.080176.002003 · Cited by 3,457
Political Trust and Trustworthiness
Levi, M., & Stoker, L. (2000) · Annual Review of Political Science · doi:10.1146/annurev.polisci.3.1.475 · Cited by 2,190
Representing and Testing Organizational Theories: A Holistic Construal
Bagozzi, R. P., & Phillips, L. W. (1982) · Administrative Science Quarterly · doi:10.2307/2392322 · Cited by 2,064
CITIZENSHIP BEHAVIOR AND SOCIAL EXCHANGE.
Konovsky, M. A., & Pugh, S. D. (1994) · Academy of Management Journal · doi:10.2307/256704 · Cited by 1,929
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Sustainable tourism development and competitiveness: The systematic literature review
Streimikiene, D., Svagzdiene, B., Jasinskas, E., & Simanavicius, A. (2021) · Sustainable Development · doi:10.1002/sd.2133 · Cited by 847
Lin, Z., Chen, Y., & Filieri, R. (2017) · Tourism Management · doi:10.1016/j.tourman.2017.02.013 · Cited by 401
Impacts of festivals and events on residents’ well-being
Yolal, M., Gursoy, D., Uysal, M., Kim, H. (., & Karacaoğlu, S. (2016) · Annals of Tourism Research · doi:10.1016/j.annals.2016.07.008 · Cited by 293
Rasoolimanesh, S. M., Roldán, J. L., Jaafar, M., & Ramayah, T. (2017) · Journal of Travel Research · doi:10.1177/0047287516662354 · Cited by 264
Risk, Trust, and the Roles of Human Versus Virtual Influencers
Ameen, N., Cheah, J.-H., Ali, F., El-Manstrly, D., & Kulyciute, R. (2024) · Journal of Travel Research · doi:10.1177/00472875231190601 · Cited by 133
Metadata
- Authors
- Nunkoo, R., & So, K. K. F.
- Venue
- Journal of Travel Research
- Publisher
- SAGE Publications
- 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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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.