An analysis of work stress among bank employees: a case study of Bank Rakyat head quarter / Zatyl Alyaa' Athirah Rajman
Bibliographic record
Abstract
This paper’s main objective is to investigate factors that influence work stress among bank employees. Besides that the main factors that influenced the work stress among bank employee was also being studied between age, marital status. organizational, and environmental forces. Significant difference between the work stress among bank employees also identified. Respondents in this research comprised of 200 employees in Bank Rakvat Head Quarter. The questionnaire used to analyse work stress and the possible factors that influence respondents on stress was designed based on the previous research. About 200 set of questionnaire form and Google Form were distributed to the Bank Rakyat employee and the response rate was 100%. The answers analyses by several statistical test Method using Statistical Package Social Science (SPSS) version 21.0. Based on Multiple Regression analysis. it was identified that age and marital status factor is the main factor that influence work stress among bank employees. The implications and limitations of this research also were discussed. Suggestions and recommendation’s for management of Bank Rakyat, and future researcher were also given. The variables considered are age, marital status. organizational and environmental. The sample of this study will be collect using questionnaire, which ill distribute randomly to employee in Bank Rakyat Head Quarter within period over 16 weeks from February 2016 until Jun 2016.
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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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".