Strategic Management for SMEs: For the Projection to Global Markets
Bibliographic record
Abstract
Small and medium enterprises (SMEs) are a driving factor in the Colombian economy, being fundamental for the generation of most of the country's employment; their limited conditions lead these organizations to face challenges to achieve a sustained position in the market and favorable returns.  In this sense, strategic planning is presented as a response to the need to structure its actions according to the fulfillment of visions, missions and objectives coherent with the reality of its position in the market, and its internal conditions.  This is how this research proposes an analysis of the main contributions of the use of methodologies, techniques and strategic management tools in SMEs, highlighting their contribution to the establishment of successful marketing plans, innovation and commitment of employees, as well as the integration of stakeholders. The methodology applied was of mixed cuts, since quantitative and qualitative paradigms were combined. The results allow to glimpse a great disposition on the part of the SMEs for the strategic management, nevertheless, there are few resources that are managed for such purpose.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".