The Effect of Institutional Context, Distance, and Routine Complexity on the Transfer of Routines Across Borders
Bibliographic record
Abstract
Transferring routines and practices within Multinational Enterprises (MNEs) is a prevalent and, at times, tedious process. New institutional context imposes forces for local adaptation, which disrupts the stability of the routine - stability due to the interplay between ostensive (the codified and/or abstract version of the routine) and performative (the practiced version) aspects of the routine. Change in routines is then needed to ensure local adaptation and the routine reaches a new state of stability. Our study focuses on the micro-processes of the transfer process and the pertinent states of stability and change in the focal routines and practices. We use simulation experiments and examine the effect of intuitional pressures for local adaptation. The local adaptation speed of ostensive routine is shown to matter. Slow enactment of the revised version of the ostensive routine (i.e. implementation of the locally adapted routine) at the subsidiary level can disrupt the stability of the routine.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".