The role of leadership competencies for implementing TQM
Bibliographic record
Abstract
Purpose This research seeks to identify the specific leadership competencies required for implementing Total Quality Management (TQM); to examine the influence of leadership competencies for implementing individual TQM principles; and to examine the relationship of the TQM implementation principles with TQM outcomes among the Thai manufacturing companies with different levels of leadership competencies. Design/methodology/approach Data have been collected from 265 ISO 9000‐certified companies in the Thai manufacturing industry to examine the validity and reliability of the leadership competencies construct; nine TQM implementation constructs (top management commitment, supplier quality management, continuous improvement, product innovation, benchmarking, employee involvement, reward and recognition, education and training, and customer focus); and one outcome construct (product quality). The findings are cross‐validated using exploratory factor analysis (EFA). Step‐wise regression methods have been used to identify the influence of leadership competencies for implementing TQM principles. Findings This research confirms the necessity for top management to perform as leaders for implementing TQM. Companies with high leadership competencies execute each of the nine TQM principles more effectively and are able to produce higher quality products. This research also finds that the relationships of TQM implementation constructs and the outcome construct (product quality) are not same in the different contexts of leadership competencies. The predictors of product quality in the context of high leadership competencies are: customer focus; continuous improvement; employee involvement; and supplier quality management. The predictors of product quality in companies with low leadership competencies are top management commitment; customer focus; and product innovation. Research limitations/implications The present study used only product quality as the outcome of TQM efforts, but the outcome of TQM is not limited only to product quality. TQM is also related to other organizational performance variables, namely – customer satisfaction, employee morale, delivery, productivity, cash flow, and sales growth. Future research should be extended by using other performance variables as the outcome of TQM. Originality/value It is believed that this research reveals new insights about the manufacturing sector of Thailand. This research also has managerial and research implications for designing and formulating operations strategy for implementing TQM.
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".