The Impact of Work Environment on Employees’ Performance in Banking Sector in Palestine
Bibliographic record
Abstract
Purpose: Because high employee performance can lead to positive organizational outcomes, improving employee performance is one of the foremost objectives for any organization. Nowadays, since employees have an arguably greater number of job opportunities from which to choose and may, ostensibly, opt to leave unfavorable conditions in search of better alternatives, the workplace environment proves a critical factor in deciding to remain or leave any given position. Put simply, the workplace environment stands to influences employees’ levels of motivation, performance, and productivity. This study examines the effects of the work environment on employee performance in the Palestinian banking sector. Design/methodology/approach: Questionnaires were distributed among an initial 320 bank employees from a total of 14 Palestinian banks found in Palestine. Of the 320, 268 were deemed completed in a manner satisfactory to be considered primary source data. The remaining 52 surveys were improperly or incompletely populated and not calculated into the results. The data from these surveys were then analyzed using SPSS v 27. Findings: Findings indicate that the work environment correlates to a significantly positive effect on employee performance. After that, these results have provided robust and beneficial recommendations, which policymakers and banks may implement to formulate relevant strategies to manipulate the work environment and improve employee productivity. Originality: This research is the first to address the relationship between employees’ performance and the workplace environment in the Palestinian Banking sector.
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.
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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".