From Efficiency to Growth Strategy Along the Global Value Chains
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
Offshore outsourcing has been considered a low cost production site. There is rare studies that addressed the offshore outsourcing strategy as a growth strategy where offshoring focal firm can develop their capabilities for competitive advantage. This paper explores how SMEs enhance their dynamic capabilities by entering into offshore outsourcing relationships. The dynamic capabilities development process includes increasing focus on the Core competency, developing innovation capabilities, increasing market share in existing and/or new markets, and improving its flexibility to face the dynamic business ecosystem. This exploratory case study on ten manufacturing SMEs from Quebec (Canada) shows that offshore outsourcing contributes to developing dynamic capabilities with varying degrees of success. It shows an evolutionary path of the dynamic capability development process. Managers can enhance their understanding on how offshoring can enable firms to improve their dynamic capabilities to face challenging business eco-system and remain competitive in the high cost countries (HCC).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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