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Record W2884773999 · doi:10.5430/ijba.v9n4p186

Total Quality Management and Organizational Performance: A Possible Role of Organizational Culture

2018· article· en· W2884773999 on OpenAlexvenueno aff
Faris Alghamdi

Bibliographic record

VenueInternational Journal of Business Administration · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
FundersAlbaha University
KeywordsTotal quality managementOrganizational performanceOrganizational cultureStructural equation modelingBusinessOrganizational commitmentOrganization developmentKnowledge managementOrganizational behavior and human resourcesOrganizational learningMultilevel modelBusiness administrationPsychologyMarketingPublic relationsComputer sciencePolitical scienceSocial psychologyMathematicsStatistics

Abstract

fetched live from OpenAlex

Total quality management (TQM) has been identified as a key driver of organizational performance in public and private organizations. Organizational culture, along with TQM, has investigated to understand its contributions to organizational performance. The purpose of this study is to examine the relationship between TQM and organizational performance, taking into account a moderating effect of organizational culture. A total of 163 managers at different managerial levels in public organizations in Albaha province participated. The Pearson correlation analysis revealed that the relationship between TQM and organizational performance is a positive and statistically significant. Hierarchical regression analysis and structural equation modeling (SEM) showed that the interaction of TQM and organizational culture was statistically significant and positively related to organizational performance. Some recommendations and suggestions for future research are provided.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.257
Teacher spread0.245 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations50
Published2018
Admission routes1
Has abstractyes

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