Development of Innovation Capability Model: Analysis of e-CRM and Risk Perceptions of Covid-19 in Bogor City MSMEs
Bibliographic record
Abstract
The phenomenon of the commercial revolution 4.0 encourages MSME actors to comply with current trends in order that the goods produced may be competitive. Creative enterprise merchandise require innovation competencies with a view to produce advanced merchandise. This study takes a look at discusses improvement troubles withinside the MSME quarter that are despite the fact that restricted in conventional organization control, inadequate fine of human assets, manufacturing scale and strategies, low innovation functionality and confined get admission to to economic establishments, especially banking. The growth the variety of enterprise actors primarily based totally on facts from the Cooperatives Office the town of Bogor in 2021 with a mean growth of 6.141% of all forms of organizations isn't always matched with the aid of using trends the subject of innovation to assist enhance the advertising overall performance of SMEs the town of Bogor. Where in enhancing the capacity of innovation, it's miles anticipated to synergize with Customer Relationship Marketing or CRM such as numerous information, consumer involvement, long-time period partnerships and technology-primarily based totally trouble fixing in developing enterprise overall performance.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".