Maximising co-creation strategy through integration of distinctive capabilities and customer experiences in supply chain management
Why this work is in the frame
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Bibliographic record
Abstract
This paper makes an assessment on the impact of co-creation strategy as part of digital transformation in Industry 4.0 on supply chain management. We argue that the concept of strategy has shifted from the competitive strategy into co-creation strategy based on collaboration value. In developing co-creation strategy, the input is derived from external factors associated with customer experience and internal factors related to distinctive capabilities and both focus on core competence development in supply chain management. We use telecommunication firms as our unit analysis with sample of 35 Indonesian Information and Communications Technologies (ICT) firms analysed using Partial Least Square (PLS). The findings show that the developing of co-creation strategy was supported by distinctive capabilities and customer experience. The findings also indicate that co-creation strategy emerges as a key in sustaining business of the firms to focus on developing customer experience and providing distinctive capabilities.
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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) | 0.000 | 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) | 0.001 | 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