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Record W2922041131 · doi:10.1108/ijaim-10-2017-0118

Is corporate governance relevant to the quality of corporate social responsibility disclosure in large European companies?

2019· article· en· W2922041131 on OpenAlexaff
Christine Adel, Mostaq M. Hussain, Ehab K. A. Mohamed, Mohamed A. K. Basuony

Bibliographic record

VenueInternational Journal of Accounting and Information Management · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsCorporate social responsibilityAccountingBusinessCorporate governanceSustainability reportingIndex (typography)Quality (philosophy)SustainabilitySample (material)Public relationsFinancePolitical science

Abstract

fetched live from OpenAlex

Purpose This paper aims to report on the quality of corporate social responsibility (CSR) disclosure in S&P Europe 350 companies. The paper also examines the impact of corporate governance structure and other firm-specific characteristics on the quality of CSR disclosure in European companies. Design/methodology/approach The paper uses a disclosure index adopted from Jizi et al. (2014). Moreover, the paper contributes to the CSR disclosure literature by developing a new index that includes all the aspects introduced by the Global Reporting Initiative version 4.The data of CSR reporting are manually collected from the firms’ reports. The population and sample of this study are related to 350 companies operating in 16 European countries. Tobit regression analysis is used to test the hypotheses. Findings The results reveal that directors’ ownership, the presence of a CSR committee and firm size positively affect the quality of CSR reporting. Further testing of the independent variables on each CSR sub-category is made. The CSR sub-categories used are, namely, community involvement, employees, environment, social product and service quality, supply chain sustainability and business ethics. The presence of a sustainability committee inside the company is the only factor that shows a strong positive effect on the disclosure of every CSR sub-category and the CSR inclusive index. Research limitations/implications The limitations of this research are that it focuses exclusively on the effect of the internal corporate mechanisms on the quality of CSR reporting; disregarding the economic, institutional, political and cultural factors that can play a role in influencing sustainability reporting of the companies. Practical implications Better CSR disclosure leads to the firm having a better image in the society; this, in turn, has implications on firm performance, attracting funds, as well as recruiting and retaining high profile employees. Stakeholders are placing cumulative significance to corporate transparency particularly in the area of CSR. Managers should exert more efforts into not only improving the disclosure of the various facts of CSR but also into using the various media available for disclosure. Companies should take the initiative of establishing a CSR committee to ensure effective formation and implementation of CSR policies and disclosure of CSR activities. Social implications The CRS research itself bears the merit of social implications. Moreover, the findings of this research pave the way for future researches to examine the effect of the adoption of global CSR initiatives and frameworks on the quality of CSR reporting. Originality/value This paper contributes to the CSR disclosure literature by developing a new index that includes all the aspects of CSR and exploring the relation between the rarely explored “presence of sustainability committee” and CSR disclosure, as well as testing a vast number of CSR sub-categories that is not extensively covered in previous studies. Moreover, the paper covers a large sample of companies across 16 European countries, in terms of their stand-alone sustainability reports, dedicated chapters of CSR in annual reports, integrated reports, website CSR information and any attachments/links provided on the websites for further CSR documents, brochures or data sheets.

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)0.007
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 score0.113
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.034
GPT teacher head0.288
Teacher spread0.255 · 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

Citations178
Published2019
Admission routes1
Has abstractyes

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