Plant location, ISO 9000 certifications and quality management practices
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 main purpose of this study is to examine the impact of the country in which a manufacturing plant is located on its ability to achieve one or more of the ISO certifications, and the extent to which six other quality management practices have been implemented. It also examines the impact of achieving world class manufacturing status (WCM) on product quality. Product quality was measured by finished‐product first‐pass yield, scrap and rework costs, and warranty costs as percentages of sales. Design/methodology/approach The analyses are based on empirical data collected from more than 2900 manufacturing plants in the USA Canada, and Mexico. Findings The results show that there are significant differences in the plants' efforts to achieve quality certifications. Significant differences were also found in the extent to which six other quality management techniques are implemented. More important, our results show that there are significant differences in product quality performance among plants with different levels of progress toward achieving WCM status. Originality/value The findings of this study have many implications for both academic and practitioners who are interested in studying the impact of ISO 9000 and Quality Management practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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