Value creation mechanisms of business models
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
Management scholars and practitioners generally agree that the primary functions of a business model are value creation and value capture. However, the meaning (conceptualization) of these terms, their measurement, and the factors and mechanisms affecting them remain contentious. In the current article, we provide answers to these questions by clarifying the consumers’ value creation and business value capture constructs. Then, we demonstrate how they are determined by four business model mechanisms: value proposition and value targeting (affecting consumers’ value through willingness to pay) and value appropriation and value delivery (affecting business value through price and cost). We demonstrate that a fine-grained analysis of a business model’s value creation cannot be adequately performed without reference to these four mechanisms. The developed conceptual framework is illustrated and corroborated by the mini-case vignettes. We finish by outlining an application of the proposed framework to two crucial real-world business model situations: escaping the Giver Trap and remaining the Winner.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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