The psychological costs of owning and managing an SME: Linking job stressors, occupational loneliness, entrepreneurial orientation, and burnout
Bibliographic record
Abstract
The aim of this study was to gain a deeper understanding of occupational stress in small-to-medium enterprise (SMEs) owner-managers by delving further into individual and contextual factors that make them vulnerable to burnout. From a relational perspective, the authors propose that job stressors related to SME management can predict burnout through the feeling of occupational loneliness, and that this indirect relationship is moderated by the entrepreneurial orientation of the owner-manager. The proposed moderated mediation model was supported by multiwave data collected from 377 owner-managers in France as well as its invariance across business size. The results showed that the conditional indirect effect of loneliness was stronger and significant when entrepreneurial orientation is low, but weaker and not significant when entrepreneurial orientation is high. This finding provides a starting point for further investigations of burnout in SME owner-managers, and more specifically, the complex pathways by which job stressors are related to burnout.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".