Estruturas de governança híbridas em redes de cooperativas de crédito brasileiras e canadenses sob a ótica da teoria dos custos de transação
Bibliographic record
Abstract
This paper aims at building a theoretical model that characterizes the influence of Hybrid Governance Structures (HGS) in Transaction Costs (TC) of credit cooperatives networks in Brazil and Canada. From the characterization of the variables that influence the TC, it's possible to perform a discrete analysis of hybrid forms of governance which is characteristic of strategic networks of credit cooperatives canadian Desjardins and brazilian Sicredi. The case studies analysis proved that the evolution of HGS was simultaneous with the evolution of the legal and institutional environment, in a dialectical process. However, one can see that while evolving from different legal and institutional environments, there is a tendency to homogeneity in these networks, at least in the creation of ad hoc institutions to deal with the most significant TC. An equation was inferred at the final section of the work, to perform the comparison of the costs of HGS with the transaction of financial intermediation of credit cooperatives networks. The model can be used to compare the analysed TC with the correpondent costs of lean financial institutions. According to this equation, the cost to carry out internal transactions to the network, in addition to the costs arising from the political and social pressures present in this type of institution, must be less than or equal to TC of financial institutions with hierarchical governance structures. This not only corroborates the discriminating alignment hypothesis of Williamson (2005), but adds elements for classification and analysis of these costs.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".