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Record W1987281765 · doi:10.1509/jm.10.0406

How Doppelgänger Brand Images Influence the Market Creation Process: Longitudinal Insights from the Rise of Botox Cosmetic

2012· article· en· W1987281765 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Marketing · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsYork University
Fundersnot available
KeywordsCompetitor analysisLegitimationLegitimacyInnovatorContradictionMarketingBrand managementProcess (computing)Brand loyaltyNetnographyBusinessConceptual frameworkSociologyAdvertisingEntrepreneurshipSocial mediaPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Using actor-network theory from sociology, the author explores the creation of new markets as a brand-mediated legitimation process. Findings from an eight-year longitudinal investigation of the Botox Cosmetic brand suggest that the meanings of a new cosmetic self-enhancement technology evolve over the course of contestations between brand images promoted by the innovator and doppelgänger brand images promoted by other stakeholders. Each contestation addresses an enduring contradiction between nature and technology. A four-step brand image revitalization process is offered that can be applied either by managers interested in fostering an innovation's congruence with prevailing social norms and ideals or by other stakeholders (e.g., activists, competitors) interested in undermining its marketing success. The findings integrate previously disparate research streams on branding and market creation and provide managers with the conceptual tools for sustaining a branded innovation's legitimacy over time.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.251
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it