Meeting customers' requirements with ISO audit - quality management system (QMS) performance and organizational culture assessment
Bibliographic record
Abstract
This study explores the possibility of assessing organizational culture and business ethics through the use of ISO 9001: 2008 quality management system (QMS) audit. 30 questionnaires have been collected from academic and industry research presenters and participants in the America, China, Malaysia, and Canada in 2008 for understanding their perception of: organizational culture, general business principles, business ethics and integrating organizational culture and business ethics into ISO audit. It is found that assessing organizational culture and assessing business ethics are important. A multiple regression analysis was conducted with significant linear relationship between quality and organization behavior, integration of business ethics into workplace, and staff attitude. Besides, a strong positive correlation is found between “provides quality that meets customer requirements” and “treats customers fairly”; between “provides quality that meets customer requirements” and “behaves fairly in all activities”. Also, a strong correlation is found between “organizational culture assessed under ISO 9001: 2000 clause 5.5.3 internal communication” and “organizational culture assessed under ISO 9001: 2000 clause 5.1 management commitment”; and between “organizational culture assessed under ISO 9001: 2000 clause 5.5.3 internal communication” and “business ethics assessed under ISO clause 5.1 management commitment”. Hence, ISO audit can be used to understand an organization’s culture and their commitment of business ethics on top of system performance. Key words: Organizational culture, business ethics, ISO, internal communication, management commitment, quality.
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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 | 0.008 | 0.038 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".