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Record W2067643309 · doi:10.1504/ijlsm.2012.048368

Relationship between supply chain strategies, logistics flexibility and supply chain performance: evidence from Canadian manufacturing industry

2012· article· en· W2067643309 on OpenAlex
Kamel Fantazy, Bhasker Mukerji, Raahul Kumar

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Logistics Systems and Management · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsFlexibility (engineering)Structural equation modelingSupply chainContext (archaeology)Supply chain managementBusinessOperations managementProcess managementIndustrial organizationMarketingComputer scienceManagementEconomics

Abstract

fetched live from OpenAlex

This research examines the relationships among strategy, Logistics Flexibility (LOF) and performance in the supply chain context. This research was based on a quantitative approach using a questionnaire survey from 115 Small- and Medium-sized (SME) Canadian manufacturing companies. The constructs identified in the research have been utilised to test a theoretical model using Structural Equation Modelling (SEM). This study produced three main conclusions: (1) the direct positive effects of strategy on LOF, (2) the direct positive association between LOF and performance, and (3) the total effect (direct and indirect) of positively influenced performance. In addition, the concluding section illustrates some insights for future research.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
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 head0.098
GPT teacher head0.301
Teacher spread0.204 · 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