Process Innovation Propagation: Appropriating Supply Chain Innovation Returns
Bibliographic record
Abstract
This paper introduces the concept of Process Innovation Propagation (PIP) as a power-based appropriation mechanism that departs from conventional strategies of protective appropriation. PIP is defined as collecting returns from process innovations through passing them over to supply chain partners. The transfer process is based on the two mediated sources of power which pre-exist in a buyer-supplier linkage prior to joint innovation endeavors: market and expert, and is novel in: (1) suggesting external appropriation through using other firms as opposed to solely depending on internal capabilities; (2) directly challenging the preclusive component of generative appropriability; and, (3) collecting innovation rents through supply chain operational benefits and market image. Acknowledging its significant potential as a profit-enhancing mechanism, PIP is distinguished as a new construct, and propositions regarding its elements and antecedents are developed based on a thorough analysis and synthesis of the literature.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 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".