Institutional entrepreneurship: collaborative change in a complex Canadian organization
Bibliographic record
Abstract
Purpose This study adopts an institutional entrepreneurship perspective in the context of public–private partnerships (P3s) to highlight the role of social actors in enacting institutional change in a complex organizational setting. By studying the actions of two prominent social actors, the authors argue that successful institutional change is the result of dynamic managerial activity supported by political clout, organizational authority and the social positioning of actors. Design/methodology/approach The authors conducted a field-based case study in a complex institutional and organizational setting in Alberta, Canada. The authors employed an institutional entrepreneurship perspective to identify and analyze the activities of two allied actors motivated to transform the institutional environment for public infrastructure delivery. Findings The empirical study suggests that the implementation of institutional change is both individualistic and collaborative. Moreover, it is grounded in everyday organizational practices and activities and involves a coalition of allies invested in enacting lasting change in organizational practice(s), even when maintaining the status quo seems advantageous. Originality/value The authors critique the structural explanations that dominate the literature on public–private partnership implementation, which downplays the role of agency and minimizes its interplay with institutional logics in effecting institutional change. Rather, the authors demonstrate that, given the observed impact of social actors, public–private partnership adoption and implementation can be theorized as a social phenomenon.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.021 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".