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Record W2613150244 · doi:10.5539/ijef.v14n11p8

The Role of the Audit Firm Governance in Enhancing Audit Market Stability

2022· article· en· W2613150244 on OpenAlexvenueno aff
Antonella Russo, Lorenzo Neri

Bibliographic record

VenueInternational Journal of Economics and Finance · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBanking, Crisis Management, COVID-19 Impact
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingAuditCorporate governanceBusinessAudit committeeJoint auditQuality auditReputationInternal auditMarket shareAudit evidenceExternal auditorChief audit executiveInformation technology auditFinance

Abstract

fetched live from OpenAlex

Across the world there have been important regulation related to the audit matters. Significant efforts have been made in recent years to improve the audit firm trustfully with a focus on the significance of corporate governance for the market perception of the audit firm quality. The IAASB published in 2020 the exposure draft on “Fraud and going concern in an audit of financial statements” and the Financial Reporting Council (FRC) and Institute of Chartered Accountants in England and Wales (ICAEW) updated in 2016 the Audit Firm Governance Code. Good corporate governance and the related effects on market reputation of audit firm could reduce the market concentration of the BIG4. This study looks at whether or not, and if so, in the UK market the corporate governance of the audit firms is correlated with the market share of audit firms in order to support the efforts of standard setters to improve the corporate governance of audit firms and to enrich the academic literature on this topic. Enhancing corporate governance practice in non BIG4 audit firm could affect the perception of audit quality of the smaller accounting firms and improve their market share.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.176

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.010
GPT teacher head0.205
Teacher spread0.196 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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