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Record W3133084184 · doi:10.5267/j.ac.2021.1.024

The perceptions of loan officers and auditors of factors affecting auditor independence: Evidence from Palestine

2021· article· en· W3133084184 on OpenAlexvenueno aff
Saher Aqel

Bibliographic record

VenueAccounting · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAuditor independenceAccountingAuditLoanExternal auditorBusinessAuditor's reportInherent risk (accounting)Joint auditRespondentIndependence (probability theory)Audit substantive testInternal auditFinancePolitical scienceLawStatistics

Abstract

fetched live from OpenAlex

The study investigates the perceptions of external auditors and loan officers regarding external auditor's independence in Palestine. Data were gathered using a questionnaire developed by the author and include 5 main issues related to the perception of external auditor’s independence. The sampling population identified for this study consists of external auditors working in domestic and international audit firms and financial statement users mainly loan officers in Palestine. The sample included 79 auditors and 76 loan officers. The findings revealed that there are significant differences in the perceptions of external auditors and loan officers in relation to provision of non-audit services, auditor’s economic dependence on a single audit client, and long relationship between an auditor and a client. The results revealed mixed results about the effect of presence of active audit committee on independence of the external auditors. Furthermore, acceptance of significant gifts from the client was considered an important factor that may influence auditor independence by loan officers and external auditor and thus significant differences between the two respondent groups were found in relation to acceptance of significant gifts from the client. These findings can be useful to policy makers and professional auditing bodies in Palestine on setting new regulations or strengthening existing ones to enforce auditor’s independence in Palestine.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.016
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.014
GPT teacher head0.236
Teacher spread0.222 · 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
Published2021
Admission routes1
Has abstractyes

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