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Record W3207563283 · doi:10.1108/gkmc-02-2021-0025

Research productivity of International Financial Reporting Standards (IFRS) from 2003 to 2020

2021· article· en· W3207563283 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobal Knowledge Memory and Communication · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsScopusProductivityAccountingRanking (information retrieval)International Financial Reporting StandardsBusinessCitationBibliometricsPoint (geometry)Political scienceEconomicsLibrary scienceComputer scienceEconomic growthMathematics

Abstract

fetched live from OpenAlex

Purpose This study aims to examine the quantitative research productivity of International Financial Reporting Standards (IFRS) globally by using the bibliometric approach. The method was applied to articles indexed in the Scopus database to analyze the publication patterns, trends and research productivity of the selected papers. Design/methodology/approach Bibliometric analysis is applied to analyze research productivity of IFRS from 2003 to 2020. The method was applied to articles indexed in the Scopus database to analyze the publication patterns and research productivity of the selected papers. Findings This study finds that a good number of articles have been published on IFRS, the top five countries are the USA, UK, Australia, Germany and Canada. This clearly shows that developed markets have the highest number of publications on IFRS. This could be as a result of the early adoption of IFRS by those economies and owing to the interest of researchers in those markets. Most of the studies are quantitative in nature; this study indicates that publication on accounting standards is popular as the number of citations is significant; most of the articles have two or more authors and were published in top-ranking journals. Practical implications This study provides up-to-date literature on the global research productivity of IFRS; as a result, it supports the development of policies by the users of this accounting standards. The findings of this study also serve as a reference point for firms and regulators around the world. Given the thoroughness of the methodology of this study, the results make it easier to effectively identify the direction of research on the implementation of IFRS in organizations. Originality/value This study provides a more comprehensive bibliometric analysis on the growth of IFRS literature (2003–2020) in the Scopus database; most of the prior studies have covered relatively few areas of focus as well as a fewer number of high impact factor journals. The relevance of this finding is in uncovering different areas of IFRS research productivity globally.

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)0.003
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.036
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 science0.0000.002
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 head0.030
GPT teacher head0.324
Teacher spread0.295 · 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