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Record W2974322971 · doi:10.2478/orga-2019-0014

Strategic SCM’s Mediating Effect on the Sustainable Operations: Multinational Perspective

2019· article· en· W2974322971 on OpenAlexaboutno aff
Sebastian Kot, Adnan ul Haque, Eugene Kozlovski

Bibliographic record

VenueOrganizacija · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSustainable Supply Chain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationStructural equation modelingBusinessNonprobability samplingSupply chainPerspective (graphical)SustainabilitySupply chain managementMarketingSustainable developmentIndustrial organizationKnowledge managementBusiness administrationPopulationSociologyComputer science

Abstract

fetched live from OpenAlex

Abstract Background and Purpose: The comparative cross-sectional study examines the strategic supply chain management’s mediating effect on the sustainable operations through environmental and social sustainability within the businesses operating in Canada, Iran and Turkey to attain global perspective. Methodology: Over 200 small businesses in each country are included through combining purposive sampling, referrals, networking, and connections. For quantitative data analysis, the Smart partial least square structural equation modeling (SmartPLS-SEM) is employed. Results: Results showed that there is statistically significant positive mediating role of strategic supply chain on the sustainable operations (environmental and social sustainable) performances in all three selected economies. Findings further confirmed that within the multinational perspective, the SCM factors have higher significant positive impact within Canada in contrast to Iran and Turkey. Conclusion: This study offers a new theoretical contribution by examining the mediating role of strategic supply chain from multinational perspective to enhance existing body of knowledge. Furthermore, it offers a practical contribution by providing the strategic research framework to facilitate managers in improving the small businesses’ performance in sustaining operations.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.853
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.007
GPT teacher head0.211
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations39
Published2019
Admission routes1
Has abstractyes

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