Illustrating Business Relevance of Systems Engineering via Storytelling
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
Abstract Many software‐centric organizations do not embrace Systems Engineering, whether lacking awareness or perceiving it too onerous for value delivered. While some embrace Digital Engineering, Design, and Innovation to advance their market position, some continue to experience sub‐optimal results and downstream consequences. These realities show Systems Engineering becoming inconsequential in today's business settings, to the detriment of success and customer value. Effective storytelling, showcasing situational implementation of the right elements of Systems Engineering, can address this. Stories engage, inspire, and create connection. When layered with multiple dimensions and meaning, they become timeless. This paper describes four vignettes about enhancing success in software‐intensive enterprises by leveraging Systems Engineering in context, flexibly and fit for use, and compatibly with other disciplines. The vignettes illustrate how Systems Engineering strengthens performance and positions for flexibility, adaptability, and resilience in a fast‐changing, complex world. The paper concludes with implications for Systems Engineering outreach, leadership, and influence.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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