Accumulative and Assimilative Learning, Institutional Infrastructure, and Innovation Orientation of Developing Economy Firms
Why this work is in the frame
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Bibliographic record
Abstract
We examine the role of internationally acquired knowledge and supra‐firm institutional infrastructure on developing firms' innovation orientation. Empirical results, based on a panel of 11,048 Indian manufacturing firms during the period 1990 to 2009, show that the macro‐ and micro‐institutional context in which firms are embedded condition the effect of global resource and product market participation on indigenous innovation efforts. In particular, technology imports (accumulative learning) have a stronger effect on inducing investments in innovation when the macro‐institutional development is weak and for firms that are affiliated to business groups. However, product market internationalization (assimilative learning) plays a more important role in facilitating innovation efforts as the institutional environment becomes stronger and for independent firms that do not possess the network advantages inherent in business groups.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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