Hybrid Branch Plants: Japanese Lean Production in Poland's Automobile Industry
Bibliographic record
Abstract
Abstract This article examines hybrid branch plants created by an interaction of the routines and conventions of the parent company with those of local institutions. We argue that hybridization is a search for an appropriate mix of practices that ensure viability in local circumstances, rather than necessarily the transfer of established “best” (parent‐company) practices. Conceptually, hybridization is interpreted as learning‐based (and bargaining) processes that are inherent in the evolution (internationalization) of firms in which alternative trajectories are possible. Empirically, the article examines the recent transfer of lean production to Poland's automobile industry and comparatively and qualitatively analyzes four hybrid branch plants in terms of six dimensions of shop‐floor and factory management. Given the explosion of Japanese foreign direct investment in recent decades, its competitive strengths, and the importance that Japanese firms attach to learning processes, lean production is an important case study for hybridization. The four cases illustrate different types of hybrid behavior with different consequences for corporate and local performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".