Business Model Research: Past, Present, and Future
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 Business model research has grown into an insightful area of inquiry, and articles in the Journal of Management Studies (JMS) have greatly contributed to this topical area. This introductory article to the thematic collection of business model research offers an overview of the pertinent literature as well as foundational knowledge, so it is suitable for scholars who are familiar with the topic, but it is also helpful for those wishing to join the conversation. Business model research has thrived at the intersection of strategy, innovation management, and entrepreneurship studies. This body of research is characterized by both a bold vision to improve our understanding of the architecture and building blocks of business models as well as conceptual and empirical debates about the way forward in the digital age of continuing disruption, platformization, and ecosystem transformations. We suggest three promising areas for future research: business model portfolios, competitive dynamics between heterogeneous business models, and business model design for more sustainable economy.
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 | 0.003 |
| Open science | 0.000 | 0.001 |
| 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