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Record W3157605203 · doi:10.1080/0267257x.2021.1912143

Creating a brand community at the bottom of the pyramid: the case of a Cameroonian music platform

2021· article· en· W3157605203 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 Management · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsBottom of the pyramidBrand communityBrand managementReputationContext (archaeology)BusinessPyramid (geometry)Brand awarenessMarketingCorporate brandingAdvertisingBrand equityBrand extensionPopulationSociologyGeography

Abstract

fetched live from OpenAlex

The phenomenon of brand communities has been well documented by researchers during the last two decades; however, little attention has been paid to the phase during which brand communities first emerge. Facilitating this emergence is particularly crucial for businesses operating in countries or regions in which large segments of the consumer population live at the bottom of the pyramid (BoP). But how can a brand community be generated in a BoP context? And how can organisations mobilise people living at the BoP to participate in creating and maintaining a brand community? To respond to these questions, we study the case of a Cameroonian music platform created in 2015 that was quickly able to mobilise Cameroonian music fans to spread its reputation by word of mouth and to produce content. Our case study shows that to create a brand community, startups should follow three precise steps.

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)0.009
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 score0.561
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.021
GPT teacher head0.224
Teacher spread0.203 · 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