Twenty-five years of the <i>Journal of Small Business and Enterprise Development</i>: a bibliometric review
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
Purpose Commensurate with the 25th anniversary of the Journal of Small Business and Enterprise Development ( JSBED ), this retrospective work distils trends across all original articles published in the journal during this time period. Design/methodology/approach Bibliometric analysis techniques are used to analyse 917 original JSBED publications. Specifically, performance analysis is conducted to analyse the journal's publication and citation patterns, bibliographic coupling and author keyword co-occurrence analysis are conducted to identify major themes, and co-authorship analysis is conducted to analyse author collaborations. Findings Results indicate JSBED has grown considerably since its inception, both in terms publication and citations. JSBED 's most prevalent themes include management and growth of small firms, entrepreneurship education, strategy in small firms, business development, technology in small firms, business competencies in small firms, internationalization in small firms, role of social capital, entrepreneurial orientation and entrepreneurship in under-represented and minority populations. Originality/value This is the first comprehensive bibliometric analysis of JSBED in the journal's history. Accordingly, it presents a novel and heretofore disparate understanding of the key themes and dialogues emerging from an established journal with a growing reputation for scholarly and practitioner impact.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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