The effects of time management strategies on employee’s performance efficiency: Evidence from Jordanian firms
Bibliographic record
Abstract
Time management is very important for human being and organizations and it is a precious asset for achieving desire performance and accomplish duties. Fresh water is also another important valuable resource on the earth. Water provides many benefits for organizations, nature, human and plays an important role for development of economies. The aim of this study is to identify the effects of time management strategies on employee performance in Yarmouk Water Company in Jordan. In this study, time management strategies consists of five factors; namely fulfillment obligations strategy, time organizing strategy, utilization of resources, time planning strategy and priorities status strategy. The study population consists of 66 directors and heads of departments working for Yarmouk Water Company in Jordan. The study sends a designed questionnaire in Likert scale to all the population, manages to receive 62 and by excluding incomplete questionnaires 57 questionnaires are analyzed representing approximately 86% of the survey. Using some statistical tests, the study indicates that all five factors; namely fulfillment obligations strategy, time planning strategy, utilization of the resources, time organizing strategy and priorities status strategy of resources positively influence on employee performance. There is also a positive altitude from study sample towards time management strategies. As recommendation, the employees must distinguish between important and unimportant tasks, the employees should determine the goals before starting the work, the managers must delegate some tasks to subordinates, and the employees pay attention to complete their work on time, The researcher recommends conducting further studies about the impact of time management strategy on employees' performance efficiency from the view of customers perspective.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".