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Record W2979295236 · doi:10.5267/j.uscm.2019.7.006

The impact of supply chain practices on performance through supply chain integration in textile and garment industry of Vietnam

2019· article· en· W2979295236 on OpenAlex
Thi Thu Hien Phan, Xuan Toan Doan, Thi Thanh Tam Nguyen

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUncertain Supply Chain Management · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsTransformational leadershipBusinessSupply chainVietnameseIndustrial organizationSupply chain managementMarketingEconomicsManagement

Abstract

fetched live from OpenAlex

This paper is intended to evaluate intermediary role of SCI in the relationship between supply chain management practices (SCMP) and supply chain performance (SCP) and, at the same time, to examine the regulatory role of firm size and transformational leadership in this relationship. The research is conducted on 536 Vietnamese textile and garment enterprises and the results show that SCI had a complete intermediary role in the relationship between SCMP and SCP. Additionally, Size and Transformational leadership also play statistically significant regulatory role in the relationships between SCMP and SCI as well as between SCMP and SCP. Accordingly, it is recommended that enterprises should implement SCMP well to improve the effectiveness of SCI and SCMP, contributing to sustainable development and ensuring requirements of global supply chains.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.285
Teacher spread0.261 · 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