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Record W1587755824 · doi:10.5430/jbar.v4n2p1

Does CSR Enhance the Transfer of Environmental Practices to Overseas Subsidiaries ?

2015· article· en· W1587755824 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Business Administration Research · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilitySubsidiaryBusinessSustainabilityOrdinary least squaresVariable (mathematics)Environmental economicsBusiness administrationAccountingMultinational corporationPublic relationsEconometricsEconomicsEcologyPolitical scienceMathematics

Abstract

fetched live from OpenAlex

Corporate social responsibility (CSR) requires firms to contribute to the reduction of environmental burden. In this paper, we analyze the relationship between the CSR assessment of firms and the international transfer of environmental management. The data used are obtained from two sources: CSR data from the Toyo Keizai “CSR Company Directory” and transfer data from a questionnaire survey we conducted in Vietnam. Our model adopts CSR as an explanatory variable and transfer as an explained variable. The ordinary least squares (OLS) method is used for analysis. From the analysis, it is revealed that CSR assessment is positively related to the transfer of environmental management. Social consciousness for sustainability encourages firm to take action.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.233
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.069
GPT teacher head0.352
Teacher spread0.283 · 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