Plan de negocio para la producción y exportación de chips de oca a Canadá
Bibliographic record
Abstract
The current business plan proposes the production and commercialization of sweet potato (Oca) Chips with the objective of exporting them to Canada. This idea focuses on offering a product based on an Ecuadorian traditional ancestral product which is a not well-known tuber that provides great nutrients for the organism. This was done through an external environment and Porter’s forces analysis. The existence of great opportunities was determined proposing a positive view of the previously mentioned business. Few factors that ensure the establishment of this product in the country were found, such regulations and requirements that the government of Canada has determines seek that the products arriving in the country fulfill the high quality standards related to ingredients and source of product. Thanks to a customer analysis and through a qualitative and quantitative investigation we were able to determine that consuming a healthy product is what worries a Canadian consumer, this has encouraged them to check the ingredients and nutritional facts tables listed on a product which leads us to assume that they are willing to acquire healthy snacks. The results are favorable due to the existence of willingness to buy the product and acceptance in the targeted market. Finally, the business plan is profitable, as we see a business opportunity and an open door in Sweet potato commercialization to the Canadian market. Through a 5-year projection plan, a rate of return has been verified as well as project cash flow and overall positive business outcome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".