Does the Institutional Context Shape International Operations Strategy? Country-Level Analysis
Bibliographic record
Abstract
Recent literature has proposed that institutions play a pivotal role in corporate andbusiness strategies. We argue that this role holds for manufacturing strategy as well. Despite extensiveliterature regarding international operations management (OM), few studies verify how importantvariables in OM vary across different institutional contexts. This scarcity of comparative crosscountryresearch reveals an important gap both for research and practice. In this paper we addressthis gap by providing a data analysis of a recent survey collected in Canada and Brazil. We replicateand extend previous research by comparing important variables of manufacturing strategy in thesetwo institutional contexts such as knowledge exchange, green process management, environmentalsupplier management and the traditional manufacturing performance dimensions.DOI: 10.12660/joscmv6n1p106-121URL: http://dx.doi.org/10.12660/joscmv6n1p106-121
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".