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Record W2007494063 · doi:10.1016/j.jom.2009.11.003

Quality management effectiveness in Asia: The influence of culture

2009· article· en· W2007494063 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

VenueJournal of Operations Management · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsChinaQuality (philosophy)BusinessEast AsiaProduct (mathematics)Quality managementGlobalizationCultural diversityMarketingGeographyEconomicsPolitical science

Abstract

fetched live from OpenAlex

Abstract Globalization forces managers to utilize manufacturing capabilities from countries with different cultures than their own, particularly from Asia. Yet quality problems in China have raised concerns among managers and researchers as to how to assure product quality from Asian facilities. Implementing quality management practices may accomplish this, but such practices assume specific cultural values exist in certain Asian cultures. Using global manufacturing and cultural data, this study examines if cultural values in Asian and non‐Asian countries moderate how effective quality management practices are at improving quality performance. Through the use of multilevel modeling, differences in quality management effectiveness are found among the East Asian cultures of China, South Korea, and Taiwan. Moreover, this study finds that specific cultural dimensions are statistically related to quality management effectiveness. The results of this study will assist managers in devising plans to assure higher quality from East Asian facilities and in predicting where problems may occur in other countries around the world.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.016
GPT teacher head0.291
Teacher spread0.275 · 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