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Record W2128209562 · doi:10.1002/bse.630

Corporate social responsibility in china: an analysis of domestic and foreign retailers' sustainability dimensions

2008· article· en· W2128209562 on OpenAlexaff
Ans Kolk, Willemijn van Dolen

Bibliographic record

VenueBusiness Strategy and the Environment · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsLambton College
Fundersnot available
KeywordsCorporate social responsibilityChinaBusinessSustainabilityContext (archaeology)Divergence (linguistics)Sample (material)Product (mathematics)Emerging marketsMarketingPublic relationsPolitical scienceFinanceGeography

Abstract

fetched live from OpenAlex

Abstract In the past decade, a sizeable body of literature has built up on the concept and characteristics of corporate social responsibility (CSR) in Western countries, where it has also been referred to as sustainability. More recently, attention has grown for CSR in emerging countries. Remarkably, China has hardly been studied so far. This paper aims to help fill this gap by considering, against this background, the CSR notion in China, through an exploration of a small sample of large retailers in China, both Chinese and non‐Chinese companies. The analysis of CSR/sustainability dimensions, as communicated by these large retailers in both the Chinese and the English language, shows substantial differences between the Chinese and international contexts. Interestingly, the largest divergence can be found for international retailers between their Chinese and corporate attention for CSR (so home versus host settings), most notably in the case of Carrefour, and to a lesser extent Wal‐Mart. In the Chinese context, there are differences between the Chinese and international retailers as well (so domestic versus foreign firms), with the former reporting more on economic dimensions, including philanthropy, and the latter more on product responsibility – contentious labour issues and the environment receive relatively limited attention in both groups in China. The paper concludes with a discussion of the implications for research and practice. Copyright © 2008 John Wiley & Sons, Ltd and ERP Environment.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.026
GPT teacher head0.242
Teacher spread0.217 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations25
Published2008
Admission routes1
Has abstractyes

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