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Record W2060825241 · doi:10.5430/afr.v3n1p67

Stakeholders’ Perception of the Implementation of International Financial Reporting Standards (IFRS) in Nigeria

2014· article· en· W2060825241 on OpenAlexvenueno aff
Jonathan A. Okunbor, Amos O. Arowoshegbe

Bibliographic record

VenueAccounting and Finance Research · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingBusinessAuditInternational Financial Reporting StandardsPosition (finance)PerceptionQuality (philosophy)Investment (military)Order (exchange)FinanceGovernment (linguistics)Value (mathematics)Variance (accounting)PsychologyPolitical science

Abstract

fetched live from OpenAlex

This study examined the stakeholders’ perception of the adoption of IFRS in Nigeria. It sought to establish among others whether the implementation of IFRS in Nigeria has enhanced the value of financial reporting in the country. The data generated from the questionnaire were analysed using Analysis of Variance (ANOVA). In the study, the opinion of users of financial reports was sought through a cross-sectional survey. The study reveals that significant differences exist in the perceptions of stakeholders regarding the effect of the working of IFRS on the value of financial reports; no considerable differences in their perception about the implementation of IFRS with respect to the improvement on quality of investment decisions ; and as a basis for assessing returns on investment and whether comparison of financial reports in Nigeria have been enhanced. Based on these findings, it was recommended that relevant authorities should ensure that organisations comply with established standards when preparing financial statements; and auditors must assert their independence with a view to ensuring that audit reports reflect the actual position of the entity’s financial circumstances. Government was further advised to strengthen the Financial Reporting Council of Nigeria with qualified personnel in order to adequately perform its functions.

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)0.007
metaresearch head score (Gemma)0.014
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 score0.230
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.014
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 science0.0000.000
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 head0.042
GPT teacher head0.335
Teacher spread0.293 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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