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Record W3035005946 · doi:10.1177/0007650320928981

Investigating the Impact of Corporate Social Responsibility (CSR) on Risk Management Practices

2020· article· en· W3035005946 on OpenAlexaff
Hao Lu, Xiaoyu Liu, Loren Falkenberg

Bibliographic record

VenueBusiness & Society · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsSaint Mary's UniversityUniversity of Calgary
Fundersnot available
KeywordsCorporate social responsibilityBusinessReputationRisk managementValue (mathematics)AccountingMechanism (biology)Public relationsMarketingFinancePolitical science

Abstract

fetched live from OpenAlex

To date, the value of corporate social responsibility (CSR) activities has primarily been measured through the company’s reputation, with little attention given to exploring whether there are internal influences between CSR and other management practices. We argue that the efficacy of CSR extends beyond a company’s reputation for managing social and environmental concerns; in particular, it can influence other business practices such as risk management. Our results suggest that (a) overall, firms with better CSR performance are more likely to adopt integrated risk management practices and (b) CSR activities that target both primary stakeholders and secondary stakeholders are equally important in facilitating the adoption of such risk management practices. Theoretically, we contribute to the CSR literature by providing a possible mechanism for risk reduction and insurance-like effects of CSR. Practically, we provide managerial implications demonstrating that the efficacy of CSR should not be viewed in isolation of other business practices.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.097
GPT teacher head0.320
Teacher spread0.223 · 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

Citations86
Published2020
Admission routes1
Has abstractyes

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