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Record W2008906145 · doi:10.5539/ass.v11n4p298

Influence of Strategic Orientation on SMEs Access to Finance in Nigeria

2015· article· en· W2008906145 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsnot available
Fundersnot available
KeywordsRetained earningsBusinessStructural equation modelingLoanProfit (economics)Cash flowEarningsMarketingFinanceIndustrial organizationEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

The paper examined the influence of EO, MO, LO, and TO on SMEs financial capital accessibility in Nigeria. The purpose of this paper is to establish the role of firm strategic orientation in helping SMEs improve their financial access. A total of 362 questionnaires from SMEs in North Western Nigeria were used in this study. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the study hypotheses. Using SmartPLS 3.0 the findings indicates that strategic orientations are important drivers of firm success to finance. The result further suggests that SMEs who configured and utilized their strategic activities are more likely to get more cash flow, profit and retained earnings and will obtain a loan from external sources. To get an adequate financial capital SMEs need to improve their marketing activities, learn more from their experience and environment and lastly produce product with high technological improvement. At the same time they should avoid too much emphasis on taking risky business decision and investments.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.894
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.040
GPT teacher head0.305
Teacher spread0.265 · 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