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Cited by 386

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Consumer research in the restaurant environment, Part 1: A conceptual model of dining satisfaction and return patronage

Kivela, Jaksa, Inbakaran, Robert, Reece, John·1999·International Journal of Contemporary Hospitality Management

Abstract

This article proposes a conceptual model that explains dining satisfaction and predicts post‐dining behavioural intentions. The model provides a reference framework for conceptualising and describing the effects of disconfirmation on individuals’ dining and post‐dining experience processes, and within which dining satisfaction research findings can be related, organised, and integrated to form a systematic body of knowledge. The resulting discussion reviews consumer satisfaction research to date and evaluates applications of the approach in customer feedback. The article concludes that disconfirmation theory has sufficient comprehensiveness by suggesting that dining satisfaction is a consequence of disconfirmation and that satisfaction with the dining event does lead to repeat patronage. Subsequent articles (Part 2) will report and explain the research design and analytical methods used in this study, and (Part 3) will report on data analysis and findings of the study.

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Registry

Crossref · 10.1108/09596119910272739

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Kivela, J., Inbakaran, R., & Reece, J.
Venue
International Journal of Contemporary Hospitality Management
Publisher
Emerald
Published
1999-09-01
Volume
11
Issue
5
Pages
205-222
ISSN
0959-6119 (ISSN-L)
OpenAlex
W2001934794
Cited by
386
References
9
FWCI
6.41
Type
journal article
Language
en
Open access
closed

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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.