Strategies and policies for developing SMEs based on creative economy
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.
Bibliographic record
Abstract
Small and Medium Enterprises (SMEs) play a major contribution to the Indonesian economy. Along with the development of a centralized economic direction on consumers, the use of technology in all fields, and information transparency, SMEs must also be able to adapt in the era of the industrial revolution 4.0. This research aims to develop strategies for strengthening and developing SMEs and mapping the hierarchy policy of developing a creative economy-based SME business model in the era of the industrial revolution 4.0 in the Province of Bali. The data in this study were collected through documentation, FGD, and interview techniques, then analyzed using SWOT and MULTIPOL analysis techniques. The ability of creative economy-based SMEs to compete in the global era depends on internal and external factors. The analysis shows that SMEs in the Province of Bali are in a position of growth and built, so the strategies adopted are intensive strategies or integration. Development policies for SMEs, especially in the era of the industrial revolution 4.0, need to be directed so that the guided SMEs become independent SMEs. The policy package for the development of target SMEs includes technology, capital, marketing and infrastructure policies.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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 it