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Record W2065442844 · doi:10.1108/14626000210419491

Entrepreneurship, resistance to change and growth in small firms

2002· article· en· W2065442844 on OpenAlexaboutno aff
Colin S. Gray

Bibliographic record

VenueJournal of Small Business and Enterprise Development · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)EntrepreneurshipResistance (ecology)MarketingBusinessEntrepreneurial orientationSmall businessDemographic economicsSurvey data collectionFocus (optics)PsychologyEconomicsFinanceStatisticsGeography

Abstract

fetched live from OpenAlex

The focus of this paper is on existing small firms, with fewer than 50 employees, and their attitudes to change, using data from regular quarterly small firm surveys conducted by the Small Business Research Trust, especially from the 1,212 respondents to the fourth quarter of 1999 (15:4, motivation, objectives and targets) and the 812 respondents to the first quarter 2000 survey (16:1, changes). The overlap between the respondents to these successive surveys allows their responses to be cross‐tabulated. It was expected that there would be strong positive links between growth‐orientation, the setting of financial objectives (as opposed to lifestyle goals), propensity to introduce changes and actual growth, and that age and size of firm effects will also be present and likely, as intervening variables, to influence these relationships. The findings confirm these expectations (and the mirror image of resistance to change linked to non‐entrepreneurial 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 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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.208
Teacher spread0.168 · 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 designQualitative
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

Citations266
Published2002
Admission routes1
Has abstractyes

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