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Record W1518978000 · doi:10.1108/02656711111101755

The role of leadership competencies for implementing TQM

2011· article· en· W1518978000 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Quality & Reliability Management · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsVancouver Island UniversityIsland Health
Fundersnot available
KeywordsTotal quality managementBenchmarkingQuality managementProcess managementKnowledge managementBusinessExploratory researchConstruct (python library)Context (archaeology)CertificationQuality (philosophy)MarketingManagementService (business)Computer scienceSociology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.112
GPT teacher head0.313
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it