Societal well-being, self-control and entrepreneurial re-entry
Bibliographic record
Abstract
Purpose This study aims to examine the influence of societal levels of well-being and self-control on re-entry of entrepreneurs who have had unfavorable exits during an external crisis. Design/methodology/approach Using 5,351 survey responses from the Global Entrepreneurship Monitor obtained from 29 countries post the 2008 economic crisis and supplementing with data from the World Values Survey, the authors show how well-being at the societal level influences entrepreneurial re-entry. Findings The study finds that societal-level dimensions of hedonic and eudaimonic well-being positively influence entrepreneurial re-entry. Further, this influence is mediated by societal-level self-control. Originality/value The study invokes the psychological dimensions of well-being and self-control as higher-order societal constructs that influence entrepreneurial re-entry. The novelty lies in suggesting the mechanisms through which societal-level well-being influences entrepreneurial re-entry after an exit during a crisis. While societal-level dimensions of well-being function as distal drivers of entrepreneurial re-entry, self-control acts as a proximal driver, and the effect of well-being in influencing re-entry is felt through self-control.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".