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Record W2415874771 · doi:10.1108/md-01-2015-0001

Measuring the actionability of evidence for evidence-based management

2016· article· en· W2415874771 on OpenAlex
Farimah HakemZadeh, Vishwanath V. Baba

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueManagement Decision · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsVarimax rotationFormative assessmentPsychologyIndex (typography)Metric (unit)Relevance (law)Variance (accounting)Knowledge managementComputer sciencePsychometricsCronbach's alphaMarketingBusinessPolitical science

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to address the gap between management research and management practice by suggesting that, in addition to rigor and relevance, management knowledge should be actionable to be of practical value. To this end, an index for evaluating actionability is proposed and empirically tested. Design/methodology/approach – Based on reflective and formative conceptualizations of actionability and a critical review of both evidence-based management (EBMgt) and evidence-based medicine literature, the authors developed 40 items that would best represent attributes of actionable research. The authors asked 187 management scholars, members of the editorial boards of influential management journals, and practicing managers to rank the extent to which each item was important to their perceptions of research to be actionable in practice. The authors treated actionability as a two-level construct consisting of first-order reflective factors and second-order formative ones. Findings – Using principal component analysis with varimax rotation six factors were extracted, explaining 68 percent of variance in actionability: operationality, which also included items from causality; contextuality; comprehensiveness; persuasiveness, which split into two dimensions of rigor and unbiasedness; and lastly comprehensibility. Using partial least squares analysis, the authors demonstrated that these six factors formatively contribute to an overall index of actionability of management research. Research limitations/implications – The index offers an empirical measure to advance research on EBMgt by facilitating theory testing in different management contexts. Practical implications – The developed index promotes EBMgt by providing producers, disseminators, and users of management knowledge with a metric to appraise actionability of management knowledge. Originality/value – This index is the first theory-based and empirically tested tool for effectively evaluating the practical value of management research.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0010.001
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 head0.196
GPT teacher head0.309
Teacher spread0.113 · 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