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Record W4398776273 · doi:10.5267/j.msl.2024.5.004

Entrepreneurship orientation and performance of small and medium sizes enterprises in bamenda III

2024· article· en· W4398776273 on OpenAlexvenueno aff
Paul Akumbom, Andrew Wujung Vukenkeng

Bibliographic record

VenueManagement Science Letters · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipBusinessEntrepreneurial orientationOrientation (vector space)PsychologyMarketingMathematics

Abstract

fetched live from OpenAlex

Economic growth is mostly dependent on small and medium-sized businesses (SMEs), especially in Bamenda III and similar districts. Examining how an entrepreneurial mindset affects the success of small and medium-sized enterprises (SMEs) in Bamenda III was the primary goal of this research. The study implemented a structured questionnaire and analyzed based on both descriptive and inferential statistics. Results from the ordinary least squares revealed that proactiveness behavior exerted a positive significant effect on SMEs_Performance in Bamenda III. Similarly, risk taking had a coefficient of 0.788, indicating a positive relationship with SMEs_Performance. Competitive aggressiveness had a positive coefficient indicating a positive association with SMEs_Performance, although it was not statistically significant at the conventional significance level. Innovativeness behavior had a positive statistically significant effect on SMEs_Performance. From a policy perspective, enhancing the entrepreneurial skills and mindset of SME owners and employees can foster a greater entrepreneurial orientation, leading to improved business performance.

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 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.199
Teacher spread0.184 · 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 teacher head, 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

Citations2
Published2024
Admission routes1
Has abstractyes

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