The effect of job stress and need deficiency on performance
Bibliographic record
Abstract
A series of big changes have recently taken place in banking and financial sector as a result of global economic crisis, deregulated markets, globalization of economy and demonetization affecting the working lives of bank employees.The present exploration was planned to probe the associations involving job stress, need deficiency and performance of bank employees.Further it aimed to find out the predictors of performance within the facets of job stress and need deficiencies among total employees, managerial and non-managerial bank staff.The sample comprises of 335 employees, consisting of 135 managerial and 180 non-managerial staff who were randomly selected from different branches of bank located in small cities in Uttar Pradesh, India.Job stress, need deficiency and performance measure scales were used to collect the information.Data were analyzed by stepwise multiple regressions analysis.The results observed as: i) total job stress, intrinsic impoverishment, role overload and unreasonable pressure showed significant positive correlation with performance and intrinsic impoverishment as well as role overload appeared as predictors of performance for sample group whereas esteem need, autonomy need were emerged as predictors and showed negative correlations with performance of employees; ii) esteem need, intrinsic impoverishment, strenuous working conditions and poor-peer relations were emerged as predictors of performance among managerial staff and iii) intrinsic impoverishment, role overload and strenuous working conditions appeared as predictors of performance for non-managerial staff.Further results discussed in details with suitable evidences.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".