The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Teaching Old Brands New Tricks: Retro Branding and the Revival of Brand Meaning
Abstract
Retro brands are relaunched historical brands with updated features. The authors conduct a “netnographic” analysis of two prominent retro brands, the Volkswagen New Beetle and Star Wars: Episode I—The Phantom Menace, that reveals the importance of Allegory (brand story), Aura (brand essence), Arcadia (idealized community), and Antinomy (brand paradox). Retro brand meanings are predicated on a utopian communal element and an enlivening paradoxical essence. Retro brand management involves an uneasy, cocreative, and occasionally clamorous alliance between producers and consumers.
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
Consumers and Their Brands: Developing Relationship Theory in Consumer Research
Fournier, S. (1998) · Journal of Consumer Research · doi:10.1086/209515 · Cited by 7,542
Muniz, A. M., & O'Guinn, T. C. (2001) · Journal of Consumer Research · doi:10.1086/319618 · Cited by 3,998
Thompson, C. J. (1997) · Journal of Marketing Research · doi:10.1177/002224379703400403 · Cited by 1,142
Cited by
Consumer Culture Theory (CCT): Twenty Years of Research
Arnould, E. J., & Thompson, C. J. (2005) · Journal of Consumer Research · doi:10.1086/426626 · Cited by 3,677
How Brand Community Practices Create Value
Schau, H. J., Muñiz, A. M., & Arnould, E. J. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.5.30 · Cited by 2,444
Access-Based Consumption: The Case of Car Sharing: Table 1.
Bardhi, F., & Eckhardt, G. M. (2012) · Journal of Consumer Research · doi:10.1086/666376 · Cited by 2,015
Word of mouth communication within online communities: conceptualizing the online social network
Brown, J., Broderick, A. J., & Lee, N. (2007) · Journal of Interactive Marketing · doi:10.1002/dir.20082 · Cited by 1,661
Brand authenticity: An integrative framework and measurement scale
Morhart, F., Malär, L., Guèvremont, A., Girardin, F., & Grohmann, B. (2015) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2014.11.006 · Cited by 1,084
Metadata
- Authors
- Brown, S., Kozinets, R. V., & Sherry, J. F.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2003-07
- Volume
- 67
- Issue
- 3
- Pages
- 19-33
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2121227792
- Cited by
- 1,415
- References
- 3
- FWCI
- 52.54
- 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
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.
