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Record W4404286131 · doi:10.3390/engproc2024076077

Industry 5.0 and Overall Supply Chain Performance: A Proposed Conceptual Framework

2024· article· en· W4404286131 on OpenAlexaff
Hamideh Nazarian, Sharfuddin Ahmed Khan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsSupply chainComputer scienceConceptual frameworkConceptual modelSupply chain managementProcess managementKnowledge managementBusinessSystems engineeringEngineeringMarketingDatabase

Abstract

fetched live from OpenAlex

This study investigates the impact of Industry 5.0 (I5.0) on the overall supply chain performance (SCP). Three dimensions of SCP, including efficiency, responsiveness, and visibility, have been defined based on the existing literature to evaluate the overall SCP. Moreover, seven enabling technologies of I5.0, which have the greatest impact on supply chain management (SCM), have been extracted from the existing literature. This study also demonstrates how I5.0 affects SCP dimensions and how each dimension contributes to overall SCP. The present work can provide managers and practitioners with a comprehensive perspective on the importance of I5.0 in improving their SCP by enhancing the efficiency and effectiveness of supply chain (SC) actions.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0060.006
Science and technology studies0.0020.006
Scholarly communication0.0080.009
Open science0.0010.005
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.021
GPT teacher head0.245
Teacher spread0.224 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2024
Admission routes1
Has abstractyes

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