Relationship between Job Stress and the Turnover Intention of Private Sector Bank Employees in Bangladesh
Bibliographic record
Abstract
Private sector banks are important segments of the economy of Bangladesh. This sector has already been recognized as a significant industry for achieving the Sustainable Development Goals (SDG) of Bangladesh. However, managing private organizations has become very challenging due to highly competitive market and higher level of employee turnover especially in the private banking sector. It is observed that to attain the competitive advantage, private bank employees are undertaking heavy workload that leads to higher level of stress at work and is increasing turnover intention among the employees. This study has been designed to explore the factors that are accountable to create stress among the private bank employees in Bangladesh which are creating turnover intention among them. Hence, this study identified the relationships between job stress factors and the increase of turnover intensions among the bank employees in Bangladesh. A total of 206 bank employees at different levels of the banks were interviewed from ten private commercial banks of Bangladesh. A structured questionnaire was designed through literature review to collect the information from the respondent employees. Both descriptive and inferential statistics were used to analyze the data. Multivariate analysis techniques were used to identify the work stress factors having influence on the turnover intention among the private bank employees in Bangladesh. Results show that there are four stress factors that increase the turnover tension among the private bank employees in Bangladesh such as, (i) long hours and fast work, (ii) clearness of goals and objectives of work, (iii) workload and change in mindset, and (iv) flexibility at work. This study suggests that the policymakers of the private commercial banks should address the issues like long hours and fast work, clearness of goals and objectives of work, workload and change in mindset and flexibility at work for reducing turnover intensions of the bank employees in Bangladesh.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".