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Record W4395703118 · doi:10.1080/10978526.2024.2343478

Recent Management Accounting Literature: Bibliometric Analysis and Contributions from Latin America

2024· article· en· W4395703118 on OpenAlexaff
Marcela Porporato, Eliana Werbin

Bibliographic record

VenueLatin American Business Review · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsYork University
Fundersnot available
KeywordsLatin AmericansAccountingManagement accountingBibliometricsRegional scienceEconomicsBusinessManagement sciencePolitical scienceComputer scienceGeographyLibrary science

Abstract

fetched live from OpenAlex

Journals and citations are networks of practice in which management accounting, management control systems, and performance management carry significance. A total of 2,560 publications and 43,425 citations from the Web of Science between 2000-2020 were used to perform a citation analysis of articles, authors, and journals, along with a bibliometric study to map keywords co-occurrence. Citations and publications had an explosive growth due to new journals and Web of Science expansion, with the number and share of top journals decreasing over time. Performance management is eclectic with journals and authors from various disciplines; bibliometric maps suggest that management accounting and performance literature rooted in strategy are competing to integrate this emerging topic. Regardless of the increase in citations and publications, there are only 28 Latin American articles (1% of the total). Despite calls for more diversity in accounting research, we observe the pre-eminence of Western academic norms and practices. Although management accounting is an active field in Latin America with many local publications, few appear in internationally ranked academic journals.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0190.309
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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