Work Systems in Heavy Engineering: The Role of National Culture and National Institutions in Multinational Corporations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper is based on an Anglo-German research project of two research groups in both countries. It is based on data collected by qualitative research in the three largest multinational corporations (MNCs) in the lift and escalator industry. The headquarters (HQs) of the three corporations are based in the United States, Finland and Germany, respectively, and all three MNCs each have subsidiaries in Germany and Britain. Our main objects of analysis were change processes in the work systems of these three MNCs. We chose the lift and escalator industry as an example because it has been characterized by strong concentration processes during the last 10 years. Most of these corporations have grown by acquisition and there are strong tendencies in the market towards standardized, globally uniform products. National cultures and institutions, first of all play a role on the HQ level. Important areas were the standardization of products and production technology, the design of management systems and location and relocation decisions for R&D and manufacturing. Second, MNCs take differences in national cultures into account and deliberately "use" them in allocating resources and investment within the multinational group. National cultures and institutions massively shape the very formulation of manufacturing strategies within the multinational groups, as well as the R&D strategies--a particular important field in an industry still relying heavily on small-batch and unit production. National cultures also play a significant role in implementing the global strategies of MNCs in different host countries. Our data reveal striking differences on this level.
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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 | 0.001 | 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 | 0.000 |
| 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 it