From believer to entrepreneur: the mediating role of eudaimonic well-being
Bibliographic record
Abstract
In today’s rapidly changing economic landscape, where purpose-driven work is increasingly valued, understanding the psychological and cultural foundations of entrepreneurial behaviours is crucial. Recent research highlights the importance of eudaimonic well-being – characterized by meaning, autonomy, and personal growth – as a key driver of self-initiated entrepreneurial ventures. This study examines whether eudaimonic well-being, as opposed to hedonic well-being (i.e. life satisfaction and positive affect), mediates the relationship between religious identity and the likelihood of entrepreneurial engagement. Drawing on the social identity theory, we argue that a stronger religious identity enhances individuals’ eudaimonic well-being, which in turn fosters their intrinsic motivation for entrepreneurship. Using the longitudinal dataset of 27,067 individuals across 29 countries, we find that, interestingly, the direct effect of religious identity on the likelihood of entrepreneurial engagement is negative, highlighting the need to explore indirect pathways. Furthermore, robust religious identity is associated with higher eudaimonic well-being, which significantly mediates its effect on the likelihood of engaging in entrepreneurship, while hedonic well-being shows no such mediation. These results remain consistent across diverse religious groups and remain robust to different datasets. Our study not only advances theoretical understanding but also offers practical implications for fostering resilient, purpose-driven entrepreneurial ecosystems in today’s dynamic societal context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".