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Record W3123235805 · doi:10.2308/jmar-51411

Audited Financial Reporting and Voluntary Disclosure of Corporate Social Responsibility (CSR) Reports

2016· article· en· W3123235805 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Management Accounting Research · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsYork University
Fundersnot available
KeywordsCorporate social responsibilityCredibilityAccountingBusinessAuditQuality auditVoluntary disclosureEarningsPublic relations

Abstract

fetched live from OpenAlex

ABSTRACT Prior studies show that corporate social responsibility (CSR) reporting is informative to investors but lacks credibility. This study examines whether a commitment to audits of financial outcomes, proxied by audit fees, is associated with greater CSR reporting credibility. We find that audit fees are positively associated with the likelihood of standalone CSR report issuance, and this positive association becomes stronger when managers perceive a greater need for credibility, i.e., when CSR reports are longer or issued with external assurance, when firms have strong CSR concerns, and when reports are issued sporadically. Corroborating our results, we find that CSR reports issued by firms committing to high audit fees accelerate the incorporation of future earnings information into current stock price. Taken together, our findings suggest that a commitment to higher financial reporting quality has the potential to bring positive externality to firms' nonfinancial disclosures and ultimately affects the issuance of CSR reports.

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)0.023
metaresearch head score (Gemma)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-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 score0.173
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.002
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 head0.044
GPT teacher head0.302
Teacher spread0.258 · 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