MétaCan
Menu
Back to cohort
Record W4312185910 · doi:10.5267/j.uscm.2022.11.002

The effect of supply chain organizational and supply agility on supply chain performance: The mediation role of supply chain strategy in retail shops

2022· article· en· W4312185910 on OpenAlexvenueno aff
J.E. Sutanto, Eric Harianto, Nilay Balkan

Bibliographic record

VenueUncertain Supply Chain Management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsSupply chainBusinessSupply chain managementMediationDemand chainIndustrial organizationService managementMarketingSupply chain risk management

Abstract

fetched live from OpenAlex

This research aims to analyze the effect of supply chain organizational and supply agility on the performance of supply chain performance through the mediation role of the supply chain strategy in the retail industry. Retail business design creates novelty, it is very important for manufacturers to stay focused on producing goods. The presence of a retail shop will make it easier for consumers to get the goods and services they want. The research sample includes 180 companies or respondents. The results indicate that the supply chain strategy had no significant effect on the supply chain operational performance, while the other hypotheses were stated to be significant, and the supply chain strategy as a mediator had a positive and significant effect on the supply chain operations performance of retail shops. The research includes discovering that supply chain strategy bridges organizational supply chains and supplier agility performance in retail outlets. The research will directly contribute to the growing literature on innovation in supply chain management implementation of retail shops in Indonesia and other countries.

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)0.017
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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueUncertain Supply Chain ManagementSame topicQuality and Supply ManagementFrench-language works237,207