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Record W1983695456 · doi:10.1177/0007650312473728

CSR-based Differentiation Strategy of Export Firms From Developing Countries

2013· article· en· W1983695456 on OpenAlexaff
Luciano Barin Cruz, Dirk Michael Boehe, Mário Henrique Ogasavara

Bibliographic record

VenueBusiness & Society · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsHEC Montréal
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsCorporate social responsibilityBusinessIndustrial organizationMarketingProduct (mathematics)Sample (material)Empirical researchEmerging marketsPublic relations

Abstract

fetched live from OpenAlex

This study investigates the influences of the strategy tripod, an established concept in the international business (IB) literature, on a corporate social responsibility (CSR)-based differentiation strategy for export firms. This strategy is conceived as consisting of product-level and firm-level CSR. Using a sample of 195 Brazilian export firms, the authors find that innovation capabilities, international market exposure, and institutional pressures significantly influence product-level CSR; however, the latter two factors influence firm-level CSR only through their mediating effects on product-level CSR. This study contributes to the existing CSR and IB literature in three ways. First, it integrates and systematizes the factors influencing CSR-based strategies into the three categories represented by the legs of the strategy tripod to help elucidate the previous research on the factors that drive CSR. Second, it suggests that exporters’ CSR strategies can be affected by social and environmental institutions based outside their home countries. Third, this study contributes to filling an important empirical gap in the research on CSR by focusing on export ventures from emerging countries.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.220
Teacher spread0.200 · 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

Citations65
Published2013
Admission routes1
Has abstractyes

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