Elevating Organizational Citizenship Behavior among Local Government Employees: The Mediating Role of Job Satisfaction
Bibliographic record
Abstract
Local Government being the third-tier in Malaysian government has been identified as one of the government agencies mandated to drive the economic growth and development of a particular district and its residents. For years, local governments have been plagued with public complaints as the issues of inefficiency of service quality and service delivery has yet to meet the expectation of the public. Thus, the objectives of this study were to explore the extent to which the quality of leader-member exchange (LMX) affected the subordinates’ organizational citizenship behaviors’ (OCB) and job satisfaction as well as the role of job satisfaction in mediating this relationship. Data from a sample of 212 employees of local government through a structured questionnaire using disproportioned stratified sampling procedure were used to examine the hypothesized model. Result proved that, after controlling for selected demographic variables, the quality of LMX has a positive impact towards the subordinates exhibiting citizenship behavior and their level of job satisfaction. Furthermore, the finding confirmed that job satisfaction partially mediated the relationship between LMX and citizenship behavior. In conclusion, to fulfill the mandated objectives and to instill public confidence towards efficiency of the various services provided by the local government, fostering quality dyadic relationship and improving satisfaction among the workforce should be given priority as these elements have proved to be significant in elevating the citizenship behavior among the local governments’ employees.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".