E-commerce and Zapato Sanchez, Custom Shoes: Research and Exploration
Bibliographic record
Abstract
As e-commerce platforms expand, local businesses are trying to keep up and grow alongside the bigger companies. This research project explored the role of e-commerce and custom-made artisanal dress shoes for a local Edmonton business, specifically if advertising on social media platforms would allow for sales growth. This study followed a three phase structured research approach that utilized focus group discussions, a questionnaire, and a literature review. Preliminary research was made to better understand the custom shoe industry and the desires of the current markets shopping criteria for shoes. The questions explored the criteria and decision-making tools used by the targeted market when purchasing men’s dress shoes. Further questions were posed to find the viability of an e-commerce platform for custom made shoes and the opinion on marketing this product on social media. Findings from the focus group and questionnaire found that the respondents were not receptive to an e-commerce platform and that Edmontonian’s are unaware of the custom shoe market in the city. Finalized results showed that in order for the business to achieve online sales, there must be a shift in target market and increased brand awareness within the Edmonton area. By moving from the Traditionalist age segment to generation Y, it was shown that they have the most promise for the business in terms of future sales both online and in-store. And by increasing awareness it will promote continual growth from generation Y onwards. Faculty Mentor: Fernando Angulo-Ruiz Department: Marketing
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 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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".