Institutional judo: how entrepreneurs use institutional forces to create change
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.
Bibliographic record
Abstract
Purpose – The purpose of this paper is to examine an entrepreneur’s attempt to gain legitimacy and change institutions in a multiple institutions setting. Design/methodology/approach – The authors conducted a qualitative case study to track an entrepreneur’s efforts to create a new financial instrument and get it accepted and traded on the New York Stock Exchange. Findings – The authors introduce the concept of institutional judo, analogous to the martial art where a fighter uses his opponent’s forces against him. While institutional theory has focussed on how institutional pressures force actors to conform, the term judo refers to an actor using institutional pressures to their advantage in changing those very institutions. Research limitations/implications – This qualitative research involves a single case study, but is most suited to revealing extensions of theory and subtle processes. Practical implications – The approach allowed the authors to provide a nuanced look at the actual change efforts by an entrepreneur to gain legitimacy. Social implications – This study provides a nuanced look at actual attempts to change institutions. Originality/value – Institutional judo offers a new change mechanism within institutional theory.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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