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Record W3197182287 · doi:10.5267/j.uscm.2021.7.006

The effect of different factors on intention to apply total quality management system in petroleum and liquefied gas enterprises in Vietnam: The role of the leader’s personality

2021· article· en· W3197182287 on OpenAlexvenueno aff
Trương Duc Thao, Duong Minh Tu

Bibliographic record

VenueUncertain Supply Chain Management · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsTotal quality managementUsabilityBusinessPerceptionQuality (philosophy)PetroleumPetroleum industryMarketingLiquefied petroleum gasOperations managementPsychologyEngineeringComputer scienceWaste management

Abstract

fetched live from OpenAlex

This study was conducted based on Davis's extended technology acceptance model (TAM) (1989) and survey data of 486 petroleum and liquefied gas enterprises in Vietnam on their intention to apply using a total quality management (TQM) system. Research results show that factors such as (1) Perception of the effectiveness of TQM; (2) Perception of the effectiveness of the convenience in using TQM; and (3) Perception of the effectiveness of TQM compared to the old system which has a positive impact on the intention to apply the total quality management system in petroleum and liquefied petroleum gas enterprises in Vietnam. Besides, the perception of decision-makers on issues related to quality management in these enterprises also has a direct influence on the perception of the TQM usability and indirect effect of the intention to use TQM application in these enterprises.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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