The Role of Career Resilience in the Stress Adjustment of Recently Started Entrepreneurs
Bibliographic record
Abstract
Entrepreneurship is considered one of the most demanding careers, and one in which entrepreneurs must endure periods of considerable stress, threatening their well-being, commitment and future in this career. Drawing on transactional theories of stress, the career resilience literature and the Broaden and build theory, we propose that entrepreneurial career resilience can reduce the impact of entrepreneurs' perceived stress on their job satisfaction and intention to stay in entrepreneurship. We tested our model with a moderate mediation effect using a four-wave longitudinal analysis on a sample of newly-started entrepreneurs. The results showed that entrepreneurs' perceived stress exerted a significant direct negative influence on their job satisfaction, and a significant indirect negative influence on their intention to stay in entrepreneurship (by decreasing satisfaction). We also found that new entrepreneurs' career resilience positively moderated the impact of perceived stress on their job satisfaction, and that the latter fully mediated the effect of stress on intention to remain an entrepreneur. Furthermore, the results showed that the direct effect of stress on job satisfaction and the indirect effect of stress on intention to remain an entrepreneur were conditional on the level of career resilience, so that these effects were significantly weaker for entrepreneurs with high levels of resilience as opposed to those with low levels of resilience.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".