Knowledge Management and Capability Theory in Structured Products: Perspectives From Industry Professionals
Why this work is in the frame
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Bibliographic record
Abstract
The structured products industry has lagged development of other areas of financialization. But that is changing quickly. This paper investigates the forces driving this industry’s recent and rapid growth using interviews with industry professionals which we analyze through the lens of intelligent complex adaptive systems theory and capability theory. We unpack the relationship between retail investors and issuers of structured products as well as the fintech-enabled knowledge management structure these firms have developed to exploit retail opportunities. We find that the lag in development has been due to the necessity of lower costs and the ability to create individualized structured products. The firms that are succeeding in this industry have identifiable sources of competitive advantage that make them more likely to achieve and sustain viability above mere survival than their rivals, what we call capability. From this, we extract generalizable principles for all knowledge management professionals.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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