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?
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
An updated paradigm for scale development incorporating unidimensionality and its assessment
Gerbing, D. W., & Anderson, J. C. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500207 · Cited by 6,293
CONDUCTING INTERORGANIZATIONAL RESEARCH USING KEY INFORMANTS.
KUMAR, N., STERN, L. W., & ANDERSON, J. C. (1993) · Academy of Management Journal · doi:10.2307/256824 · Cited by 2,467
The value concept and relationship marketing
Ravald, A., & Grönroos, C. (1996) · European Journal of Marketing · doi:10.1108/03090569610106626 · Cited by 2,180
Cited by
Chen, Y., & Chang, C. (2012) · Management Decision · doi:10.1108/00251741211216250 · Cited by 1,370
Ryu, K., Lee, H., & Gon Kim, W. (2012) · International Journal of Contemporary Hospitality Management · doi:10.1108/09596111211206141 · Cited by 1,254
Ulaga, W., & Eggert, A. (2006) · European Journal of Marketing · doi:10.1108/03090560610648075 · Cited by 762
Self-citationSocial media: Influencing customer satisfaction in B2B sales
Agnihotri, R., Dingus, R., Hu, M. Y., & Krush, M. T. (2016) · Industrial Marketing Management · doi:10.1016/j.indmarman.2015.09.003 · Cited by 579
The customer value proposition: evolution, development, and application in marketing
Payne, A., Frow, P., & Eggert, A. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0523-z · Cited by 440
Self-citation
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Customer perceived value: a substitute for satisfaction in business markets? https://app.cochat.ai/papers/10.1108/08858620210419754
- The paper
- 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
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.