The Impact of Job Stress on Employee’s Performance at one of Private Banks in Egypt during COVID-19 Pandemic
Bibliographic record
Abstract
Job stress is a universal element that is not only encountered in every individual but also in every organization regardless of its size. Especially, bankers who are under a good deal of stress because of the nature of their work. Stress could result in a decrease in employees’ performance, productivity, quality of labor, and high turnover rate, in addition to some health problems like anxiety, depression, and headache. The purpose of this paper is to investigate the perception of employees of one of the private banks in Egypt and their performance in the presence of job stress in the uncertain period of the coronavirus pandemic. The literature review defined the job stressors which are role ambiguity, underutilization of skills, and work overload. Similar studies have been also mentioned for the impact of job stress on employees’ performance in different countries. A descriptive research design was conducted using a survey questionnaire that is distributed among the employees of the bank in all departments and the collected responses were 51 respondents that were taken from a total population of 1,100 employees. The questionnaire is divided into two parts; the demographic profile and the questions related to variables under study. Descriptive statistics are used and the study revealed that the job stressors “role ambiguity and underutilization of skills” has no impact on employees’ performance in the banking field in Egypt. However, it is found that work overload has an impact on employees’ performance and even more in the covid-19 era.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".