The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Negative Word-of-Mouth Communication Intention: An Application of the Theory of Planned Behavior
Abstract
The current research employed the Theory of Planned Behavior as a theoretical foundation to test the antecedents of negative word-of-mouth (WOM) communication intention. The hypothesized model proposed that attitude, subjective norm, and perceived behavioral control were associated with the negative WOM communication. The data and hypotheses were examined using structural equation modeling (SEM) by AMOS. Results from the maximum likelihood estimation showed that attitude, subjective norm, and perceived behavioral control were positively related to consumers’ negative WOM communication intention. Findings of this study demonstrated that the Theory of Planned Behavior is applicable in measuring consumers’ negative WOM communication.
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Structural model evaluation and modification: An interval estimation approach
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Relationship Quality in Services Selling: An Interpersonal Influence Perspective
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The Role of Structural Equation Modeling in Scale Development
Noar, S. M. (2003) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1004_8 · Cited by 452
Consumer retail satisfaction in rural areas: A reanalysis of survey data
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Cited by
Predicting green product consumption using theory of planned behavior and reasoned action
Paul, J., Modi, A., & Patel, J. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.11.006 · Cited by 2,399
Risk, uncertainty and the theory of planned behavior: A tourism example
Quintal, V. A., Lee, J. A., & Soutar, G. N. (2010) · Tourism Management · doi:10.1016/j.tourman.2009.08.006 · Cited by 855
Extending the Theory of Planned Behavior to Predict Tourism Destination Revisit Intention
Soliman, M. (2021) · International Journal of Hospitality & Tourism Administration · doi:10.1080/15256480.2019.1692755 · Cited by 305
Twenty‐Five Years of Word‐of‐Mouth Studies: A Critical Review of Tourism Research
Confente, I. (2015) · International Journal of Tourism Research · doi:10.1002/jtr.2029 · Cited by 111
Intervention improves restaurant employees' food safety compliance rates
York, V. K., Brannon, L. A., Shanklin, C. W., Roberts, K. R., Barrett, B. B., & Howells, A. D. (2009) · International Journal of Contemporary Hospitality Management · doi:10.1108/09596110910955703 · Cited by 60
Metadata
- Authors
- Cheng, S., Lam, T., & Hsu, C. H. C.
- Venue
- Journal of Hospitality & Tourism Research
- Publisher
- SAGE Publications
- Published
- 2006-02
- Volume
- 30
- Issue
- 1
- Pages
- 95-116
- ISSN
- 0741-5095 (ISSN-L)
- 1096-3480
- 1557-7554
- OpenAlex
- W2133188124
- Cited by
- 339
- References
- 9
- FWCI
- 9.22
- 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.