Apparel Mass Customization Digital Natives: New Insights into Development and Technology Implementation
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
Despite advancements in manufacturing and information technologies along with innovative operating models and engineering designs, apparel mass customization (MC) has mostly not lived up to its expectations. The main goal of this study is to explore digital native apparel MC companies and establish relevant insights concerning development and technology implementation. The study starts by facilitating a comprehensive literature review to explore apparel MC and related technologies, combined with exploring its implementation in different successful digital native cases. Following a descriptive-analytical approach, this paper offered insights into current technology implementation and utilization in the apparel MC industry, and then classifies their practices from low to high technology adoption. Moreover, by exploring real world cases, the paper developed insights on technology application of MC, which can guide strategic directions in order to accelerate a successful implementation of MC in the apparel industry.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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