Une revue systématique de la littérature sur les déterminants de l’entrepreneuriat de la diaspora: état de connaissance et avenues de recherche
Bibliographic record
Abstract
A growing body of research has focused on diaspora entrepreneurship in the country of origin due to the various positive impacts it has on the country. This article aims to propose an integrative framework that distinguishes between facilitating and inhibiting factors of diaspora entrepreneurship according to 3 levels of analysis following an ecosystemic approach: individual, managerial and environmental. To select the articles, this study adopted a systematic approach that resulted in the selection of 66 articles. The results of this review show that current research focuses on facilitating factors and is mostly focused on the Asian diaspora. Moreover, work on the diaspora offers little insight into the role of managerial determinants (e.g. management of cultural relations, legitimacy). We also note that only 21 theories are mobilized to understand the phenomenon. These elements have enabled us to define seven research avenues. This review informs the diaspora about the determinants that they should consider in order to succeed in their entrepreneurial activity in their country of origin.
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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 | 0.012 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".