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Record W4287832096 · doi:10.1002/csr.2353

Corporate social responsibility and firm performance: Green supply chain management as a mediating variable

2022· article· en· W4287832096 on OpenAlexaff
Maya Novitasari, Anggita Langgeng Wijaya, Nindya Mariana Agustin, Ardi Gunardi, Léo‐Paul Dana

Bibliographic record

VenueCorporate Social Responsibility and Environmental Management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSustainable Supply Chain Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCorporate social responsibilityBusinessStock exchangeNonprobability samplingSupply chainSupply chain managementSocial responsibilityMediationIndustrial organizationAccountingMarketingFinancePublic relations

Abstract

fetched live from OpenAlex

Abstract The objective of this study is to test the impact between corporate social responsibility and firm performance using green supply chain management as mediation. The type of this study is quantitative research, using purposive method sampling with 211 PROPER corporates listed in the 2015–2019 period. The study data were obtained from the Indonesia Stock exchange market. The study resulted in an indication of the positive effect of corporate social responsibility implementation on green supply chain management, the firm performance benefits positively from green supply chain management, corporate social responsibility has a positive effect on firm performance and green supply chain management can be a mediating variable between corporate social responsibility and firm performance. Corporates in Indonesia are faced with pressure from stakeholders regarding their environmental impact. This could push the application of corporate social responsibility and green supply chain management in Indonesian corporates to increase their firm performance.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.006
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 head0.018
GPT teacher head0.205
Teacher spread0.188 · 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 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

Citations54
Published2022
Admission routes1
Has abstractyes

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