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Cited by 683

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Rediscovering Satisfaction

Fournier, Susan, Mick, David Glen·1999·Journal of Marketing

Abstract

The authors present a phenomenological and longitudinal investigation of satisfaction, as revealed through consumers’ ownership experiences with technological products. The study seeks to serve a provocative role in this mature research area by stepping back from the historically dominant comparison standards paradigm to question, invigorate, and, in certain ways, redirect satisfaction research along emergent lines. Although results show that the dominant paradigm of satisfaction and its competing models (i.e., those based on the confirmation/disconfirmation of preconsumption standards) are distinctly operative in some of the consumer cases, they are also found to be insufficient or even irrelevant in others. The authors consider several theoretical extensions in light of this learning and induct a new satisfaction paradigm. Overall, the findings support a more holistic, context-dependent, and dynamic process of satisfaction. This process is revealed as a multi-model, multi-modal blend of motivations, cognitions, emotions, and meanings, embedded in sociocultural settings, which transforms during progressive and regressive consumer–product interactions.

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Crossref · 10.1177/002224299906300403

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Metadata

Authors
Fournier, S., & Mick, D. G.
Venue
Journal of Marketing
Published
1999-10
Volume
63
Issue
4
Pages
5-23
ISSN
  • 0022-2429 (ISSN-L)
  • 1547-7185
OpenAlex
W4237333733
Cited by
683
References
3
FWCI
20.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Rediscovering Satisfaction. https://app.cochat.ai/papers/10.1177/002224299906300403
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Fournier, S., & Mick, D. G. (1999). Rediscovering Satisfaction. Journal of Marketing. https://doi.org/10.1177/002224299906300403

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.