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Record W4410373466 · doi:10.1111/joms.13240

The Manifold Impacts of Management Research

2025· article· en· W4410373466 on OpenAlexaff
Matthias Wenzel, Philip Gylfe, Saku Mantere, Joep Cornelissen

Bibliographic record

VenueJournal of Management Studies · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsManifold (fluid mechanics)BusinessEnvironmental resource managementEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

Abstract Management scholarship's apparent lack of impact is a misconception based on the presumption that impact involves a direct and visible influence of papers or research projects on management practice. Theory‐building impacts management practice in diverse, sometimes indirect and unnoticed, manifold ways. Supported by intermediaries such as management education, the media, and consulting, impacts emerge through interest‐driven knowledge production that contributes to the wider uptake and reproduction of management theory's main ideas and assumptions. We draw on Jürgen Habermas's theory of knowledge and human interests, aiming to expand how impact from scholarship can be understood, and what forms it might take as part of the kinds of knowledge‐constitutive interests that are pursued through theory‐building. We elaborate these different forms, building a pluralist framework of what we call ‘programmatic’ and ‘hybrid’ types of impact. We advance the argument that diverse knowledge‐constitutive interests pursued through theory‐building contribute to our field's impact on management practice in distinct, yet complementary ways.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.913
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.002
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 head0.048
GPT teacher head0.337
Teacher spread0.289 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2025
Admission routes1
Has abstractyes

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