Opening up the black box of family entrepreneurship across generations: A systematic literature review
Bibliographic record
Abstract
What makes some families more entrepreneurial than others? How are they able to nurture entrepreneurship across generations? These are fundamental questions for family business and entrepreneurship research. In particular, the multigenerational dimension of entrepreneurial families (EFs) and the new family logics that emerge as the family grows may lead to different types of entrepreneurial activities. To shed light on these questions, we conduct a systematic literature review of 90 peer-reviewed articles focusing on the characteristics and behaviours of EFs, family members and their business activities. Specifically, we first identify and categorise the family-related factors characterising EFs across generations. Second, we link the identified factors to different types of entrepreneurial activities pursued as the generations advance, distinguishing two dimensions: mode of organising (internal vs. external), and degree of relatedness (related vs. unrelated). Finally, we highlight the main gaps in the literature and provide a future research agenda.
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How this classification was reachedexpand
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".