Munich Personal RePEc Archive Job Satisfaction for Employees: Evidence from Karachi Electric Supply Corporation
Bibliographic record
Abstract
Research has been conducted in order to critically evaluate and examine the level of employees ’ satisfaction as well as the factors of dissatisfaction among the employees of Karachi Electric supply Corporation (KESC). The purpose of this study is also to observe and analyze the factors which create job dissatisfaction especially among the hardworking managers, and to find out the reasons which make them realize that they don not have a clear career path along working with KESC. The primary data for this study was compiled through questionnaire filled in on a one-to-one basis by 60 respondents from a representative sample of employees of (KESC) in Karachi district in the last quarter of 2008. The results have shown that Working Environment, Total Compensation, Growth Opportunities and Training & Development are significant factor and these four are affecting Job Satisfaction and correlated with each others. The study was faced by certain limitations and those limitations included time constraints and resources constraints, which limited this research to only the Karachi Head office of the KESC organization. According to a number of literatures studied, lack of job satisfaction is a serious issue in various organizations and job dissatisfaction has become a major obstacle in employees ’ productivity and company’s growth. There are numbers of factors which can
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".