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Cited by 292

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

The impact of interpersonal relationships on customer satisfaction and loyalty to the service provider

Guenzi, Paolo, Pelloni, Ottavia·2004·International Journal of Service Industry Management

Abstract

The focus on ongoing customer relationships is the most distinctive aspect of relationship marketing. To date we still have a poor understanding of the role played by interpersonal‐related factors in gaining and developing customer loyalty. This paper explores the impact of interpersonal relationships (both with a firm employee and with another customer) on customer satisfaction and loyalty towards the firm. Based on a review of different streams of research, the paper develops and empirically tests an original multi‐level and multi‐subject model. The findings show that customer‐to‐employee and customer‐to‐customer relationships contribute differently to the development of customer loyalty. Finally, the paper discusses managerial implications and directions for future research.

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Crossref · 10.1108/09564230410552059

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Metadata

Authors
Guenzi, P., & Pelloni, O.
Venue
International Journal of Service Industry Management
Publisher
Emerald
Published
2004-09-01
Volume
15
Issue
4
Pages
365-384
ISSN
0956-4233 (ISSN-L)
OpenAlex
W1980197955
Cited by
292
References
11
FWCI
8.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The impact of interpersonal relationships on customer satisfaction and loyalty to the service provider. https://app.cochat.ai/papers/10.1108/09564230410552059
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Guenzi, P., & Pelloni, O. (2004). The impact of interpersonal relationships on customer satisfaction and loyalty to the service provider. International Journal of Service Industry Management. https://doi.org/10.1108/09564230410552059

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.