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Record W2063410708 · doi:10.1108/08858620210442811

Market orientation in Ivory Coast: measurement validity and organizational antecedents in a sub‐Saharan African economy

2002· article· en· W2063410708 on OpenAlexaff
Cristian Chelariu, Abdoulaye Ouattarra, Kofi Q. Dadzie

Bibliographic record

VenueJournal of Business and Industrial Marketing · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsYork University
Fundersnot available
KeywordsMarket orientationTransferabilityExtant taxonOrientation (vector space)BusinessMarketingEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Despite renewed interest in the cross‐national implementation of market orientation, there is hardly any consideration of this practice in sub‐Saharan Africa. The present study examines the validity of two widely used market orientation scales from Kholi and Jaworski and Narver and Slater, in Ivory Coast, and the ability of both scales developed from explained market orientation practices among Ivorian firms. The results of this study confirm the transferability of both scales, although Narver and Slater’s were found to perform better. In addition, several related organizational antecedents recommended in the extant literature were found to predict market orientation in this sub‐Saharan African country. Several managerial recommendations and implications for further research are also discussed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.088
GPT teacher head0.214
Teacher spread0.125 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations47
Published2002
Admission routes1
Has abstractyes

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