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Cited by 654

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Emotions in service satisfaction

Liljander, Veronica, Strandvik, Tore·1997·International Journal of Service Industry Management

Abstract

Traditionally only cognitive measures, such as the disconfirmation of some comparison standard or perceived service performance, have been used to explain perceived service quality and satisfaction. Suggests that emotions could play an important role in determining satisfaction with a service. The results from an empirical study of customers’ experiences of the services of a labour force bureau show that customers experience different positive and negative emotions in connection with the service, and that these emotions influence service satisfaction. Finds that, on an aggregate level, direct disconfirmation of adequate service, together with positive emotions, explain satisfaction best. Identifies four groups of customers with different emotional profiles. Analyses of emotions in these groups show that negative emotions have the largest impact on customer response.

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Crossref · 10.1108/09564239710166272

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Metadata

Authors
Liljander, V., & Strandvik, T.
Venue
International Journal of Service Industry Management
Publisher
Emerald
Published
1997-05-01
Volume
8
Issue
2
Pages
148-169
ISSN
0956-4233 (ISSN-L)
OpenAlex
W2090210851
Cited by
654
References
5
FWCI
8.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Emotions in service satisfaction. https://app.cochat.ai/papers/10.1108/09564239710166272
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Liljander, V., & Strandvik, T. (1997). Emotions in service satisfaction. International Journal of Service Industry Management. https://doi.org/10.1108/09564239710166272

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.