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Cited by 380

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Electronic Meal Experience: A Content Analysis of Online Restaurant Comments

Open access
Pantelidis, Ioannis S.·2010·Cornell Hospitality Quarterly

Abstract

This article presents a content analysis of 2,471 customer comments regarding three hundred London restaurants on an online restaurant guide. Favorable comments far outnumbered negative reviews. The study’s chief purpose was to identify the factors that are most salient in a guest’s evaluation of a restaurant. Although food is established as the king of the meal experience, as found in other studies, the starter is cited as a highly memorable item in many consumers’ comments. A preference structure model emerges suggesting that customers consider food, service, ambience, price, menu, and decor (in that order) when reflecting on their experiences. Contrary to expectations, the model remains relatively constant when tested in times of economic plenty and economic crisis. Depending on how management monitors and responds to them, comments on electronic guides and in social media can destroy a restaurant or help secure the business’s longevity. Restaurant managers who respond successfully to comments in electronic forums can turn an unsatisfied customer to a loyal one. The study provides a comparison of comments made during times of favorable economic conditions and times of economic recession.

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Metadata

Authors
Pantelidis, I. S.
Venue
Cornell Hospitality Quarterly
Published
2010-08-11
Volume
51
Issue
4
Pages
483-491
ISSN
  • 1938-9655 (ISSN-L)
  • 1938-9663
OpenAlex
W2103003088
Cited by
380
References
1
FWCI
36.52
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Electronic Meal Experience: A Content Analysis of Online Restaurant Comments. https://app.cochat.ai/papers/10.1177/1938965510378574
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Pantelidis, I. S. (2010). Electronic Meal Experience: A Content Analysis of Online Restaurant Comments. Cornell Hospitality Quarterly. https://doi.org/10.1177/1938965510378574

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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