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Family Identity: A Framework of Identity Interplay in Consumption Practices

Epp, Amber M., Price, Linda L.·2008·Journal of Consumer Research
DOI 10.1086/529535
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Abstract

“Being a family” is a vitally important collective enterprise central to many consumption experiences and replete with new challenges in contemporary society. We advance a framework to learn how families draw on communication forms and use marketplace resources to manage interplays among individual, relational (e.g., couple, sibling, parent-child), and collective identities. Our framework also outlines potential moderators of this identity-management process. To demonstrate the value of our framework for consumer researchers, we propose numerous research questions and offer applications in the areas of family decision making, consumer socialization, and person-object relations.

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See all 447

Metadata

Authors
Epp, A. M., & Price, L. L.
Venue
Journal of Consumer Research
Publisher
Oxford University Press (OUP)
Published
2008-06
Volume
35
Issue
1
Pages
50-70
ISSN
  • 0093-5301 (ISSN-L)
  • 1537-5277
DOI
10.1086/529535
OpenAlex
W2029334208
Cited by
447
References
7
FWCI
35.86
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 ›

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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.