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Record W4280488418 · doi:10.1111/1911-3846.12792

Is Institutional Research on Management Accounting Degenerating or Progressing? A Lakatosian Analysis*

2022· article· en· W4280488418 on OpenAlexvenueno aff
Sven Modell

Bibliographic record

VenueContemporary Accounting Research · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionalisationInstitutional theoryAccounting researchInstitutional researchAgency (philosophy)Research programStructure and agencyInstitutional changePerspective (graphical)Institutional analysisPolitical scienceAccountingPositive economicsSociologyEpistemologyBusinessSocial sciencePublic administrationEconomicsHigher educationLaw

Abstract

fetched live from OpenAlex

ABSTRACT Adopting a Lakatosian perspective, this paper asks whether management accounting (MA) research using institutional theory can be described as a degenerative or progressive research program. Motivated by similar critical debates about the larger institutional research program in organization studies, I map the evolution of institutional research on MA with an eye to its theoretical contributions to the accounting literature as well as this larger research program. I conclude that this body of research has offered important, progressive extensions to the accounting literature and, to a lesser extent, the larger institutional research program. However, there is also evidence of many MA scholars using institutional theory in ways that produce degenerative tendencies. These degenerative tendencies are, in large part, due to the persistent proclivity of researchers to place overly one‐sided emphasis on the role of either human agency or preexisting institutions in explaining the process of (de‐)institutionalization and may, at worst, cause functionalist assumptions to be smuggled back into institutional analyses in ways that threaten the hard core of the institutional research program. I discuss how these tendencies can be rectified in future research and how institutional research on MA can be further developed.

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)0.019
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.019
Science and technology studies0.0120.001
Scholarly communication0.0040.003
Open science0.0020.005
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.149
GPT teacher head0.381
Teacher spread0.232 · 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 designNot applicable
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

Citations22
Published2022
Admission routes1
Has abstractyes

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