Moving toward responsible value creation: Business model challenges faced by organizations producing responsible health innovations
Bibliographic record
Abstract
Abstract Responsible Research and Innovation (RRI) seeks to steer innovation toward important societal challenges and, by doing so, calls for entrepreneurial activities that create economic, social, and environmental value. Nonetheless, little is known about the way different types of organization can produce responsible products and services and the challenges they face when implementing new business models remain largely uncharted. By linking the RRI and the business model literatures, the aim of this article is to generate a better understanding of the challenges underlying responsible value creation. To do so, we approach the business model as a dynamic construct that crosses organizational boundaries and develop an empirically grounded multilevel model that links entrepreneurs' practices (micro‐level), organizational management (meso‐level), and innovation system dynamics (macro‐level). Our multiple case studies include for‐profit and not‐for‐profit Canadian and Brazilian organizations (n = 16) engaged in the production of responsible health innovations and explore the following research questions: “What business model challenges do these organizations face in their attempt to produce responsible innovations? How do these challenges affect the implementation of their business model and capacity to achieve responsible value creation?” Our findings focus on cross‐case commonalities that clarify how specific business model components are dynamically adapted in response to eight micro‐, meso‐, and macro‐level business model challenges, while the organizations' capacity to adequately align these components remains precarious. Our study provides innovation management scholars with an empirically grounded model that brings conceptual clarity to responsible value creation. This groundwork may foster cumulative knowledge growth on the way RRI‐oriented organizations can orchestrate their activities toward responsible value creation, which simultaneously requires individual entrepreneurial skills, organizational capacities, and the support of other innovation stakeholders.
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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 | 0.035 | 0.054 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.020 | 0.008 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".