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Cited by 1,268

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Customer perceived value: a substitute for satisfaction in business markets?

Eggert, Andreas, Ulaga, Wolfgang·2002·Journal of Business & Industrial Marketing

Abstract

In recent years, there has been a resurgence of interest in the value construct among both marketing researchers and practitioners. Despite a growing body of research, it is still not clear how value interacts with related marketing constructs. Researchers have called for an investigation of the interrelationship between customer satisfaction and customer value to reduce the ambiguities surrounding both concepts. Investigates whether customer value and satisfaction represent two theoretically and empirically distinct concepts. Also addresses whether value is a better predictor of behavioral outcomes than satisfaction in a business marketing context. Two alternative models are developed and empirically tested in a cross‐sectional survey with purchasing managers in Germany. The first model suggests a direct impact of perceived value on the purchasing managers’ intentions. In the second model, perceived value is mediated by satisfaction. This research suggests that value and satisfaction can be conceptualized and measured as two distinct, yet complementary constructs.

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Metadata

Authors
Eggert, A., & Ulaga, W.
Venue
Journal of Business & Industrial Marketing
Publisher
Emerald
Published
2002-04-01
Volume
17
Issue
2/3
Pages
107-118
ISSN
0885-8624 (ISSN-L)
OpenAlex
W2021949104
Cited by
1,268
References
8
FWCI
21.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Customer perceived value: a substitute for satisfaction in business markets? https://app.cochat.ai/papers/10.1108/08858620210419754
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Eggert, A., & Ulaga, W. (2002). Customer perceived value: a substitute for satisfaction in business markets? Journal of Business & Industrial Marketing. https://doi.org/10.1108/08858620210419754

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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.