Research on the Promotion and Fostering of Entrepreneurship in SMEs
Bibliographic record
Abstract
The study delves into the realm of Promotion and Fostering of Entrepreneurship (PFE) research, a domain of scholarly interest due to its potential to shape a future where economic growth aligns with societal well-being. This article presents the first-ever bibliometric analysis of academic research dedicated to PFE, spanning from 1956 to 2021. Utilizing bibliometric techniques as performance analysis and graphical mapping, the research examines academic output using the Scopus database, categorizing articles, authors, and institutions. Noteworthy journals like Journal of Business Venturing feature prominently. Crucial articles by authors like Walter, Auer, and Ritter gain attention, while influential institutions like the University of Toronto are emphasized. Graphical mapping of Keywords highlights the growing importance of PFE research, with a notable surge in studies over the last decade. Entrepreneurship ecosystems and the integration of PFE with sustainability and social responsibility issues stand out as new and prominent perspectives.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".