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Record W3206956944 · doi:10.51594/ijmer.v3i9.257

MARKETING PRACTICES AND THE DARK SIDE OF INEQUITY: A QUALITATIVE RESEARCH IN AFRICAN PRIVATE COMPANIES

2021· article· en· W3206956944 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

VenueInternational Journal of Management & Entrepreneurship Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal and Cross-Cultural Management
Canadian institutionsSt. Thomas University
Fundersnot available
KeywordsCustomer satisfactionMarketingBusinessCustomer advocacyCustomer retentionCustomer to customerQualitative researchPublic relationsSociologyService qualityPolitical science

Abstract

fetched live from OpenAlex

Business ethics is capital for both customer satisfaction and growth in a world where competition is a distinctive constituent for companies’ unrelenting existence. The purpose of this research is to examine how ethical and fair practices affect customer satisfaction of companies in very low income countries. The research is centered on a constructivist design model with a qualitative approach that is inspired by the researcher’s experience of the context. Data collection is implemented in two (2) private companies, using a digital recorder and some semi-structured interviews. One company in the field of professional training, and one in the field of IT and printing. The data is transcribed by hand, and then a content analysis is made. The results show that equity has some effects on customer satisfaction, and thus on the overall growth of companies. The recommendation is that companies in the context should offer nondiscriminatory products and reasonable services to upturn customer satisfaction. Keywords: Business ethics, Equity, Customer satisfaction, Marketing, Burkina Faso.

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)0.039
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.258
GPT teacher head0.548
Teacher spread0.290 · 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