A conventionalist theory of the Business Model in the context of business creation for understanding organizational impetus
Bibliographic record
Abstract
The Business Model is a buzzword that appeared with the famous start-ups. The authors adopt a conventionalist approach to explain its nature. They show that a convention implies a movement that brings into being the entrepreneurial phenomenon, and with it, the seeds of an organization. In real terms, the entrepreneur must go prospecting to convince the owners of the resources he needs for his project to bring them to him, so that he can make an offer of value to the market. They will only join him if they can identify a potential remuneration (both for the offer as a whole and for their own efforts). In other words, the Business Model (BM) is a social artifact that explains organizational impetus, for resources can only be obtained (and hence organized) if a convention is born between the partners. In so doing, the convention makes the entrepreneurial phenomenon observable. In the context of business creation, the BM is this convention. It is, in some ways, a medium for expressing the shared world view of the various stakeholders who will constitute the firm.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.036 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".