MétaCan
Menu
Back to cohort
Record W67631011 · doi:10.1177/030630700903500105

Online Communication of Brand Personality

2009· article· en· W67631011 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 General Management · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPersonality psychologyPersonalityPerspective (graphical)CyberspaceAdvertisingService (business)Brand managementPsychologyBrand awarenessMarketingBusinessThe InternetSocial psychologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Brand personality has often been considered from the perspective of products, corporate brands or countries, but rarely among service offerings. Moreover, there remains the consideration of how these entities are communicated online. This article explores the brand personality dimensions that business schools communicate and whether they differ in putting across clear and distinctive brand personalities in cyberspace. Three clusters from the Financial Times’ top 100 full-time global MBA programs in 2005 are used to undertake a combination of computerised content and correspondence analyses. The content analysis was structured using Aaker's Rve-dimensional framework whilst the positioning maps were produced by examining the data using correspondence analysis. Results indicate that some schools have clear brand personalities while others fail to communicate their brand personalities in a distinct way. This study also illustrates a powerful, but simple and relatively inexpensive way for organisations and brand researchers to study the brand personalities actually being communicated.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.942
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.034
GPT teacher head0.281
Teacher spread0.247 · 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