Exploring the impact of national culture on investments in manufacturing practices and performance
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
Purpose The purpose of this study is to assess how differences in national culture influence the impact of investments in manufacturing practices on operational performance. The paper addresses the following research question: does national culture affect the efficacy of investments in manufacturing practices? Design/methodology/approach Hofstede's model of national culture is used to test whether there are operational performance differences when organisations in different cultural contexts invest in identical manufacturing practices. The research question is explored and answered by assessing the moderating role of national culture using ordinary least square analysis. Findings The results suggest that some dimensions of national culture significantly moderate the impact of investments in manufacturing practices on manufacturing performance. Originality/value This study represents a comprehensive attempt to explain differences in the impact of manufacturing practices investments on operational performance improvements in terms of cultural differences.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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