The Impact of Motivations on Employees Performance: Case Study from Palestinian Commercial Banks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Motivation aims to empower and liberalize people as enhance their entrepreneurial abilities to recognize the interactions between humans and their abilities to work. Thus, this paper is aimed to examine the impact of motivations on employee’s performance in Palestinian banking industry. The survey data was collected through distributing a questionnaire on employees that working in Palestinian commercial banks. Relied on Pearson correlation and multiple regression analysis, this paper reveals that moral motives are significantly and positively predicted employees performance. Moreover, the scholars find a high level of motivations provided to employees that working in Palestinian commercial banks. However, the material and social incentives are not predicted employees performance. On other side, the paper found that there are differences between the levels of motivation when it comes to the demographic data like qualifications, years of experiences, and job title. Finally, the study recommended that Palestinian banks needs to adapt and develop their motivation system in order to satisfy all employees’ moral needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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 it