Value Cocreation Modeling: Supporting the Analysis and Design of B2B Service Engagements through Agent Orientation and Business Intelligence.
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
Current modeling approaches for designing services do not address the characteristics of collaborative business-to-business (B2B) service engagements. Yet, these types of service engagements, for example R&D services and other knowledge-intensive business services, are key components of industrialized economies. We identify the requirements of a modeling technique able to support the analysis and design of these types of service engagements. We briefly describe Value cocreation modeling (VCM), a modeling technique fulfilling these requirements, with an emphasis on value cocreation. VCM draws concepts and constructs from i*, an agent-oriented modeling language, and business intelligence modeling. We briefly illustrate the use of VCM in an R&D service engagement, discuss its limitations, and outline opportunities for
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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