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Record W2921650409 · doi:10.5539/ibr.v12n4p61

International Standard on Auditing No. 260 and Audit Quality: Evidence from Jordan

2019· article· en· W2921650409 on OpenAlexvenueno aff
Mohammad K. Shbeilat

Bibliographic record

VenueInternational Business Research · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingAuditAudit committeeBusinessCorporate governanceExternal auditorChief audit executiveQuality auditCommissionJoint auditInternal auditOfficerPublic relationsPolitical scienceFinance

Abstract

fetched live from OpenAlex

This study aims to explore the extent of external auditors awareness of the requirements of the International Standard on Auditing No. 260 (Communications with those charged with governance) on audit quality and to shed light on the effectiveness of the communication process based on auditors actual experience. A mixed method approach was employed to achieve the study objectives. The analysis of 116 questionnaires concluded that the requirements of the ISA 260 enhance audit quality, but the two-way communication between Jordanian auditors and the audit committee is ineffective from external auditor’s perception. The study also found that audit committees do not support external auditor when disagreements arise between auditors and their client management on accounting treatments. The qualitative interviews confirmed the quantitative results and revealed several explanations among which: 1) lack of qualified directors, 2) lack of a clear policy in selecting board members, 3) meetings with auditors are routinely held, and 4) insufficient oversight by the securities commission. The interviews also revealed that the recent version of Jordanian corporate governance has two potential factors have been viewed to improve the effectiveness of the communication process that are, the appointment of a ‘governance liaison officer’ who, among other responsibilities, supervise and document audit committee meetings with the auditor, and the use of cumulative voting technique in selecting board members. The findings of the study could be beneficial for regulators by ensuring the best implementation of cumulative voting to increase the representation of qualified members so that the communication process will be greatly enhanced.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0010.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.351
Teacher spread0.296 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2019
Admission routes1
Has abstractyes

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