The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
The influence of the quality of the physical environment, food, and service on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions
Abstract
Purpose: The purpose of this study is to propose an integrated model that examines the impact of three elements of foodservice quality dimensions (physical environment, food, and service) on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions. Design/methodology/approach: Data were collected from customers at an authentic upscale Chinese restaurant located in a Southeastern state in the USA via a self‐administered questionnaire. Anderson and Gerbing's two‐step approach was used to assess the measurement and structural models. Findings: Structural equation modeling shows that the quality of the physical environment, food, and service were significant determinants of restaurant image. Also, the quality of the physical environment and food were significant predictors of customer perceived value. The restaurant image was also found to be a significant antecedent of customer perceived value. In addition, the results reinforced that customer perceived value is indeed a significant determinant of customer satisfaction, and customer satisfaction is a significant predictor of behavioral intentions. Research limitations/implications: The proposed model and study findings will greatly help researchers and practitioners understand the complex relationships among foodservice quality (physical environment, food, and service), restaurant image, customer perceived value, customer satisfaction, and behavioral intentions in the restaurant industry. Originality/value: This study is the first to develop an integrated model that explicitly accounts for the influence of three restaurant service quality factors on restaurant image and customer perceived value. Using structural equation modeling, this study empirically confirms that the model with the causality from quality, in particular three dimensions of foodservice quality in this study, to restaurant image is superior to the one with causality from image to quality in the context of restaurant.
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Citations
Cites
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Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
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Zeithaml, V. A. (1988) · Journal of Marketing · doi:10.1177/002224298805200302 · Cited by 18,292
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Cited by
El-Adly, M. I. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2018.07.007 · Cited by 613
Ali, F., Ryu, K., & Hussain, K. (2016) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2015.1038418 · Cited by 478
Self-citationService quality and customer satisfaction: The moderating effects of hotel star rating
Nunkoo, R., Teeroovengadum, V., Ringle, C. M., & Sunnassee, V. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.102414 · Cited by 380
Zhu, L., Li, H., Wang, F.-K., He, W., & Tian, Z. (2020) · Aslib Journal of Information Management · doi:10.1108/ajim-11-2019-0308 · Cited by 369
Hussein, A. S., Hapsari, R. D. V., & Yulianti, I. (2018) · Journal of Quality Assurance in Hospitality & Tourism · doi:10.1080/1528008x.2018.1429981 · Cited by 127
Metadata
- Authors
- Ryu, K., Lee, H., & Gon Kim, W.
- Venue
- International Journal of Contemporary Hospitality Management
- Publisher
- Emerald
- Published
- 2012-03-02
- Volume
- 24
- Issue
- 2
- Pages
- 200-223
- ISSN
- 0959-6119 (ISSN-L)
- OpenAlex
- W1995022725
- Cited by
- 1,254
- References
- 65
- FWCI
- 94.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ryu, K., Lee, H., & Gon Kim, W. (2012). The influence of the quality of the physical environment, food, and service on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/09596111211206141
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.