Designing Business Models and Similar Strategic Objects: The Contribution of IS
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
In this paper, we argue that information systems (IS) research has the potential to contribute to improving strategic planning, just like it has substantially contributed to improving decision making and its support in organizations in the past. Based on our work and experience in the field of business models, we outline how IS research can help strategic management researchers study the design of business models and other similar strategic notions. The paper suggests that the current research focus in strategic management could be improved and enlightened by some of the more conceptual and design-oriented research in IS. We highlight three areas in particular in which IS research has excelled that could inform research in strategic management. The first area concerns the identification, formalization, and visualization of the core constructs and models of interest related to the design and analysis of strategic business issues. The second area corresponds to the exploration of how design techniques and tools might contribute to improving the design of answers and alternatives to strategic business questions. The third area addresses the research in computer-aided design assisting the process of designing strategic management objects such as business models.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| 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