Evolution towards excellence: use of business excellence programs by Canadian organizations
Bibliographic record
Abstract
Purpose The purpose of this study is to explore the broad issues related to business excellence and the application of such programs. Design/methodology/approach In brief, this study investigated the use of business excellence programs including the use of the ISO 9000:2000 series of standards, by Canadian organizations. The results of a national survey on the use of business excellence programs are reported. Findings The use of business excellence programs by Canadian organizations appears to be related to the size and location of the organization. Organization size and location also appear to be related to the sequence in which businesses choose to implement various components of business excellence as well as the difficulty they experience with that implementation. There may be differences in the use of business excellence programs between organizations within different industry sectors, and those with different organizational structures. Finally, the use of business excellence programs was found not to affect organizations' self‐reported level of excellence. Originality/value The results of this study have implications for government policy makers who seek to better support businesses, quality program administrators, and business practitioners.
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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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".