Plan de negocios para la exportación de tejidos artesanales ecuatorianos a Toronto y Otawa-Canadá
Bibliographic record
Abstract
By 2014 the textile industry in Ecuador had grown by a 4.3 percent, which represented a 0.9 percent of the countrys GDP and a 7.24 percent of the manufacturing GDP. Exports have been affected by tariffs on certain capital goods needed for the production of garments and clothing accessories. On the other hand, the high demand of garments and clothing accessories by Canada since 2011 has led the countrys textile industry to decrease by a 4 percent annually, leading that the imports of these products increased by 2015 to a total value of 12,500 million dollars, this is due because the production of garment and clothing accessories in Canada is focused on the elaboration of high end clothing and with high quality. That is why, by the time of the investigation of the external factors in Ecuador and in Canada, studying the behavior of potential clients using quantitative and qualitative techniques and seeing that there is a business opportunity, the company Sapi was born. Sapi exports handcrafted fabrics to Toronto and Ottawa, such as scarves and beanies which are made with alpaca wool, these accessories are made by qualified artisans from Imbabura province in Ecuador, and it is focused on selling to men and women from 18 to 40 years old of a middle and upper high socioeconomic level who like to have foreign crafts, accessories and fabrics because of the culture these represent. The marketing strategy to be used is a differentiation strategy, because of the way the accessories are made, the designs they have and the raw material that is going to be used in the elaboration. The initial investment for the project is of $18 271, 20 which 50 percent is going to be financed with personal capital and the other 50 percent with a loan in a term of five years, to identify if the project if profitable the NPV is of $57 183, 21 an the IRR of 81.49 percent the recovery period starts in the third year.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".