Bibliometric Analysis of Institutional Theory Research
Why this work is in the frame
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Bibliographic record
Abstract
Institutional Theory is essential for understanding organizational dynamics and societal impacts on business conduct. This research performs a bibliometric analysis of Institutional Theory literature utilizing Scopus data processed through ScientoPy and VOSviewer. Results indicate a substantial rise in scholarly output over the past sixty years, particularly since the early 2000s. Key publication venues include the "Journal of Management Inquiry" and "Journal of Management Studies." Notable topics feature institutional theory, logics, corporate social responsibility, and sustainability. Geels' (2004) work on socio-technical systems is the most referenced. The United States ranks highest in research contributions, followed by the United Kingdom and Canada. The study highlights the progressive adaptation of Institutional Theory to modern challenges, indicating the necessity for responsiveness to evolving organizational and societal contexts. Future inquiries should focus on the influence of Institutional Theory on sustainability, its facilitation of organizational transformation, and its applicability in varied cultural and economic landscapes. These findings offer a foundational framework for researchers, policymakers, and practitioners to deepen their exploration of Institutional Theory and its relevance to organizational behavior and societal impacts on business activities. This analysis provides significant insights for enhancing theoretical frameworks and practical implementations of Institutional Theory across diverse organizational environments.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.013 | 0.049 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it