The Impact of Workaholism on Employees’ Wellbeing: An Investigation in a Non-Western Economy
Bibliographic record
Abstract
Amid the aftermath of the ‘Great Resignation’ following COVID-19, employees increasingly demand improved work-life balance due to the challenges posed by modern workplaces. This study first examines the impact of workaholism on work-family inter-role conflicts. Second, it explores how workfamily inter-role conflicts affect the physical and psychological health of workaholics. Third, the study assesses the impact of ill health on workaholics' job and life satisfaction. Out of 350 distributed questionnaires, 242 Pakistani employees working in the manufacturing and service sectors completed the survey. As hypothesized, workaholism is positively associated with work-family inter-role conflicts and significantly harms the health of workaholics. This diminished wellbeing leads to reduced job satisfaction and decreased life satisfaction. The study provides implications for HR managers and policymakers in Pakistan, highlighting workaholism's pervasive influence on employee wellbeing. Specifically, the results demonstrate the role of work-family inter-role conflicts in exacerbating ill health, urging organizations to prioritize work-life balance to improve workforce wellbeing and productivity.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".