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Record W1968336408 · doi:10.5539/ibr.v2n2p62

Entrepreneurial Competencies: The Missing Links to Successful Entrepreneurship in Nigeria

2009· article· en· W1968336408 on OpenAlexvenueno aff
Benjamin James Inyang, Rebecca Oliver Enuoh

Bibliographic record

VenueInternational Business Research · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipNature versus nurturePromotion (chess)BusinessIndigenousGovernment (linguistics)MarketingProfit (economics)Public relationsEconomicsFinanceSociologyPolitical science

Abstract

fetched live from OpenAlex

The strategic role of the entrepreneur as an agent of economic transformation in society is visible in employment and wealth generation, stimulation of indigenous entrepreneurship or promotion of entrepreneurial culture. The Nigerian government has accordingly created the enabling environment to nurture entrepreneurial development, through the establishment of various agencies to provide financial resources to small and medium scale enterprise operators or entrepreneurs. Despite the provision of financial resources to these entrepreneurs, there is still a high rate of entrepreneurial failure. The paper advocated a shift in paradigm in re-thinking entrepreneurial failure in the country. The missing links to successful entrepreneurship were identified to be entrepreneurial competencies, defined as the cluster of related knowledge, attitudes, and skills which an entrepreneur must acquire or possess to enable him produce outstanding performance and maximize profit in the business. These entrepreneurial competencies were the critical success factors to entrepreneurship, and they deserve serious consideration in entrepreneurial discourse and not to be neglected.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.054
GPT teacher head0.336
Teacher spread0.282 · 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.

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

Citations128
Published2009
Admission routes1
Has abstractyes

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