Antecedents, Work-Related Consequences, and Buffers of Job Burnout Among Indian Software Developers
Bibliographic record
Abstract
This study examines the antecedents, consequences, and buffers of job burnout among software developers using job demands resources theory. Data were collected from 372 software developers in India using questionnaires. Results reveal that software developers experiencing more role ambiguity, role conflict, schedule pressure, irregular shifts, group noncooperation, psychological contract violation, and work–family conflict are at a greater risk of job burnout. The most important antecedent of job burnout was found to be work–family conflict. Job burnout increased job performance but decreased organizational commitment and interpersonal relationships. Subjective well-being and practicing yoga and meditation were inversely related to burnout-linked job performance. Subjective well-being, social support, and practicing yoga and meditation were also found to decrease the adverse association of job burnout with organizational commitment and interpersonal relationships. In the context of work-related consequences, job burnout had the biggest adverse association with organizational commitment, and practicing yoga and meditation was found to be the most influential buffer to counter the adverse consequences of job burnout.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".