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Record W4285229801 · doi:10.5267/j.uscm.2022.3.013

The effect of corporate social responsibility on green supply chain management and firm performance

2022· article· en· W4285229801 on OpenAlexvenueno aff
Thi Thu Trang Nguyen, Tuan Anh Luong, Khanh Cuong Luu

Bibliographic record

VenueUncertain Supply Chain Management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSustainable Supply Chain Management
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessCorporate social responsibilitySupply chainSupply chain managementSustainable developmentSocial responsibilityVietnameseSustainable businessIndustrial organizationCompetitive advantageMarketingEnvironmental economicsSustainabilityPublic relationsEconomics

Abstract

fetched live from OpenAlex

Corporate social responsibility and green supply chain management are sustainable strategies that all enterprises always aim to improve firm performance and sustainable development. The objective of the study is to evaluate the impact of social responsibility on green supply chain management and performance of Vietnamese construction enterprises. The study collected data of Vietnamese construction enterprises through online and in-person surveys, then analyzed the data using Smart PLS software. The results show that social responsibility has a positive and statistically significant impact on green supply chain management and performance of construction enterprises on all three aspects of economy, society and environment. However, green supply chain management only has a statistically significant impact on environmental performance. From there, it shows that businesses should implement social responsibility and participate in green supply chains and practice green supply chain management to improve business efficiency and sustainable development.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0020.004
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 head0.013
GPT teacher head0.222
Teacher spread0.210 · 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 teacher head, not a consensus.

Study designNot applicable
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

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