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Record W2069211135 · doi:10.1108/14626001211277451

Barriers to small business growth in Canada

2012· article· en· W2069211135 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueJournal of Small Business and Enterprise Development · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsSmall businessMarketingOriginalityTest (biology)Exploratory researchNull hypothesisFeelingValue (mathematics)BusinessSet (abstract data type)EconomicsPsychologySociologySocial psychology

Abstract

fetched live from OpenAlex

Purpose The paper seeks to extend the findings of Okpara and Wynn and Robson and Obeng related to “barriers to small business growth” by using Canadian data. Design/methodology/approach The study utilized survey research (a non‐experimental field study design). Small business owners from Western Canada were surveyed to gather information. Subjects were asked about their beliefs and feelings regarding barriers to growth of their small businesses. To test the hypotheses, p < 0.05 significance level was used to accept or reject a null hypothesis. Findings The findings of this paper indicate that lack of financing, market challenges, and regulatory issues are perceived as barriers to small business growth in Canada. The results also show that sales level of small firms (“past success”) has positive impact on small business growth in Canada. Research limitations/implications This is an exploratory study to determine perceived barriers to small business growth in Canada, so the findings do not necessarily apply to other North American countries. The present study asks for responses from fixed format, set‐questions survey tools, which could exclude additional factors. Originality/value The findings may be useful for the Canadian governments and small business management advisors.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.919

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 communication0.0000.000
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 head0.021
GPT teacher head0.181
Teacher spread0.160 · 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