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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".