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Record W2969708267 · doi:10.5430/afr.v8n3p187

Users’ Perception of Financial Reporting Quality in Ghana

2019· article· en· W2969708267 on OpenAlexvenueno aff
Joseph Mbawuni

Bibliographic record

VenueAccounting and Finance Research · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAuditBusinessAccountingPerceptionQuality (philosophy)Work (physics)Sample (material)Dimension (graph theory)Psychology

Abstract

fetched live from OpenAlex

This paper assesses the extent to which top and middle management perceive FRQ of companies in Ghana after the adoption of International Financial Reporting Standards (IFRS). Drawing from the literature, a five-dimension FRQ questionnaire was developed for the study. It was a cross-sectional survey that involved a sample of 500 respondents from top and middle level management across seven industries in Ghana. The findings indicate that, generally top and middle management perceive the qualitative characteristics of FRQ of the Ghanaian companies to be very good. However, Timeliness of FRQ in terms of publishing audited financial reports was the only poorly rated qualitative characteristic. Implications to accounting theory and practitioners are discussed. Moreover, there were differences in respondents’ perception of FRQ according to their work background characteristics. It was found that top and middle management who were professional accountants were more critical in their assessment and therefore rated their perceived FRQ significantly lower than those who were non-accounting professionals. This study contributes to filling the void in FRQ literature regarding accounting information users’ assessment of FRQ in IFRS-compliant countries in Sub-Saharan Africa.

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)0.008
metaresearch head score (Gemma)0.023
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 score0.121
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.046
GPT teacher head0.331
Teacher spread0.285 · 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.

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

Citations4
Published2019
Admission routes1
Has abstractyes

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