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Record W3178522782 · doi:10.51594/farj.v3i1.231

INTERNAL AUDIT AND QUALITY OF FINANCIAL REPORTING IN THE PUBLIC SECTOR: THE CASE OF UNIVERSITY FOR DEVELOPMENT STUDIES

2021· article· en· W3178522782 on OpenAlex
Iddrisu Abdulai, Andrew Salakpi, Théophile Bindeouè Nassè

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

VenueFinance & Accounting Research Journal · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBanking, Crisis Management, COVID-19 Impact
Canadian institutionsSt. Thomas University
Fundersnot available
KeywordsInternal auditInternal controlAccountingBusinessControl environmentAuditCompetence (human resources)Control (management)Information technology auditDescriptive statisticsNonprobability samplingFinanceJoint auditComputer sciencePsychologyStatisticsEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Many corporate failures have occurred over the years as a result of poor financial reporting practices that have eluded investors and other consumers of financial data. The research used the University for Development Studies (UDS) as a case study. The study focused on three main goals: identifying emerging determinants of quality financial reporting, examining the efficacy and adequacy of UDS's internal control structure, and determining how much Internal Audit contributes to quality financial reporting. The research used a descriptive survey template and a sample size of 70 people who were chosen using purposive and stratified sampling techniques. To achieve objectives one and two, the analysis used binary regression, while to achieve objective three, the Best (2005) index was updated and used. Financial reporting accuracy, a computerized accounting system, and personnel competence were found to be determinants of quality financial reporting in the study. It was discovered that UDS' internal control system is ineffective since two of the five main components that make up an efficient internal control system, namely control environment and information and communication, are not properly implemented. The study found that UDS' internal audit reflects an average level of fraud prevention in terms of the robustness of auditing processes and fraud prevention indicators, with the remaining indicators indicating a high level of fraud prevention. Overall, UDS' internal auditing reveals a high degree of prevention. The University for Development Studies (UDS) should analyze, define, and enforce control setting, information, and communication components of the internal control system that are appropriate for their work processes, as well as enhance the existing components, according to the report. Keywords: Internal Audit, Financial Reporting, Public Sector, Ghana.

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)0.020
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.283
GPT teacher head0.420
Teacher spread0.137 · 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