Essential Managerial Skills for Brazilian Micro and Small Business Managers
Bibliographic record
Abstract
The objective of this research was to identify which are the managerial competences perceived as essential by the managers of micro and small active companies, located in the city of Porto Velho, State of Rondônia - Brazil. The relevance of the research is located in the managerial field, as a context of micro and small companies in developing regions, and, besides that, there is a theoretical expansion in the identification of managerial competencies essential to the management of micro and small companies in countries in economic and social development. The research model is the quantitative method, applied to a sample of 347 micro and small entrepreneurs from the universe of 10,221 companies, with sampling for convenience and accessibility, and data collected using a Likert scale. Therefore, the research identifies the factors that make up managerial skills, such as the dimensions “focus, production and development”, which encompasses the vision focused on the interior of the company and at work; “planning and control”, with an emphasis on plans and their execution, especially on the necessary resources; “market differentiation”, with a focus on high competition and consumers; and, finally, “training and investments”, which focuses on investments in labor and the acquisition of financial resources for the organization. These four factors synthesize the grouping of managerial skills essential for the management of micro and small companies, according to the perception of the managers participating in the sample, and, if applied to the management of micro and small companies, positively impact the survival of small businesses located in developing geographic regions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".