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Record W2924117580 · doi:10.5430/bmr.v8n1p41

Total Quality Management (TQM) Implementation in the Manufacturing Sector in Saudi Arabia: A Systematic Review

2019· review· en· W2924117580 on OpenAlexvenueno aff
Khalid Alofi, Ahmed Mustafa Younes

Bibliographic record

VenueBusiness and Management Research · 2019
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsTotal quality managementScarcityBusinessManufacturing sectorQuality (philosophy)Quality managementProcess managementEmpirical researchOperations managementEngineeringMarketingEconomicsLean manufacturing

Abstract

Objective: Despite the widespread adoption of Total Quality Management (TQM) and its theoretical applicability within the institutional framework, in the Middle East, particularly in the Kingdom of Saudi Arabia (KSA), the rhetoric in TQM has weakened the practical application and foundation of TQM as a quality management framework. There is also a scarcity of empirical evidence to support the various theoretical meanings.Methods: A systematic literature review was conducted to identify, critically evaluate, and understand the findings of current high-quality TQM implementation literature within the manufacturing sector in Saudi Arabia.Results: The paper highlights that the International Organisation for Standardisation (ISO)9000 is the most implemented model within the manufacturing sector. However, this sector is still facing numerous challenges in the adoption of TQM such as; the disagreement as per the importance of TQM, the difference in the professional and technical know-how, weaknesses in the training and development systems, and the limitations that plague the institutional frameworks. Furthermore, there is a lack of financial resources to invest in the TQM processes, as well as the negative implications of the development model.Conclusions: This study provides a systematic review of TQM implementation in the manufacturing sector in Saudi Arabia. The study reveals that ISO 9000 has been the adoptable model in this sector. This systematic review contributes to the understanding of what has been done recently in the field of TQM model implementation, its development and validation in the manufacturing sector in Saudi Arabia. Also, it uncovers eminent study gaps for future research.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: venue_new · design weight: 2684.25 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Systematic review of total quality management implementation in Saudi manufacturing; the synthesis method is used to answer a management question about firms, not to study research.

GPT-5.6 (high)OUT
genre: empirical
about Canada: no
confidence: high

The review studies TQM implementation in Saudi manufacturing rather than research practice.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Systematic review of TQM in Saudi manufacturing; uses synthesis methods to answer a management question, not to study research itself.

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.180
GPT teacher head0.431
Teacher spread0.251 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations11
Published2019
Admission routes1
Has abstractyes

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