The Impact of Strategic Planning in Palestinian Municipalities on the Quality of Service Provided to Its Citizens
Bibliographic record
Abstract
The purpose of this study is to investigate the impact of strategic planning in Palestinian Municipalities on the Quality of service provided to citizens. Secondary data were obtained by reviewing journals, books, bulletins, textbooks, scientific articles, newspapers, periodicals etc. Primary data was collected by a specific questionnaire. The questionnaire consisted of (45) items divided into three main sections: personal information, the strategic planning, and the dimensions of the quality. A random sample of One hundred and twenty (120) questionnaires were distributed to the employees of Jenin Municipality, one hundred and fourteen (114) questionnaires were retrieved and 6 cases were (missing cases). The researcher adopted SERVQUAL model in this study and made some adaptation on it to match the main objectives of the study. In order to answer the study question the researcher followed the analytical descriptive approach and tested three main hypotheses which were clarified in the study. The Main findings showed that strategic planning has a positive correlation and impact on the quality of the service provided to citizens, as well as the sub-hypothesis, (tangibility, reliability, responsiveness, empathy, and assurance) examined by the view of respondents and this applies to all the four factors (vision, mission, objectives, and the strategic choices), the level of satisfaction of the quality of the service provided by Jenin municipality which was measured by the employees was moderate. The researcher recommended the Palestinian Municipalities to promote quality culture and encourage employees to participate in continuous improvement processes and opportunities for creativity and innovation.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".