Extending the reach and impact of management research: a question of legitimacy
Bibliographic record
Abstract
Purpose The issues associated with the production and dissemination of management research have been widely debated amongst administrators, scholars and policymakers for decades. However, few studies to date have examined this issue at the level of the individual scholar. The purpose of this paper is to view a management scholar’s choice of knowledge dissemination (KD) outlets as a legitimacy judgment embedded in their social structure and community norms. Design/methodology/approach To explore this, the authors conduct a sequential mixed-methods study. The study uses qualitative methods, including one-on-one interviews ( n =29) and five workshops ( n =79) with administrators, management scholars, students and external community members (practitioners and policymakers). In addition, the authors analyzed the KD outcomes of 524 management scholars at seven Canadian universities drawn from a stratified sample of business schools. Findings The results of the research demonstrate the complex interaction between individual scholar-level factors, including socialization (degree type and practitioner experience) and tenure, and the institutional-level factors, such as strategic orientation and accreditation, and how these influence KD judgments. Specifically, the authors find that institutional factors (such as tenure and promotion) are a central predictor of scholarly KD; in contrast, the authors find that individual-level factors including degree, professional experience and career stage influence non-scholarly KD. Originality/value The results suggest that as management scholars face increasing pressure to demonstrate impact beyond academia, it may be more difficult than simply adapting the reward system. Specifically, the authors suggest that administrators and policymakers will have to consider individual factors, including their academic training (including interdisciplinary training), previous practitioner experience and career stage.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.233 | 0.479 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.012 | 0.138 |
| Scholarly communication | 0.033 | 0.047 |
| Open science | 0.005 | 0.025 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".