Characteristics of entrepreneurs in sustainably successful micro, small, and medium enterprises
Bibliographic record
Abstract
Micro, small, and medium-sized enterprises (MSMEs) are important in driving a country’s economy and cover the entire manufacturing sector. Therefore, entrepreneurs with specific characteristics are needed for MSMEs to be successful. This study analyzed the exploratory components of entrepreneur characteristics in sustainably successful MSMEs. Data from interviewing 500 entrepreneurs who successfully operated MSMEs were analyzed using descriptive, referential, and multivariate statistics. Analysis of the entrepreneur characteristics’ exploratory components revealed that their Kaiser-Meyer-Olkin index was 0.969, and eigenvalues after axis rotation were 6.545–8.899. Four components were extracted: leadership, personality, management skills, and morality/ethics. Entrepreneurs’ characteristics in sustainably successful MSMEs include the ability to prioritize tasks appropriately, punctuality, people management skills, consideration of non-violation of rights, and non-imitation of others.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".