The Impact of HRIS on HR Management functions and organization performance In the Private Sector Companies in Egypt
Bibliographic record
Abstract
Purpose: This research aims to explore more the functions of HRIS and its impact on the organization Performance. In addition, this research suggests a conclusion on the effectiveness of HRIS on HR Management functions and company’s performance.Design/ Methodology/ Approach: The elements and variables and their relationship will be researched and examined from the positive or negative side by using quantitative methodsFindings: There is a positive relationship between HRIS and HRM functions and Organization performance.Research Limitation: The research limitations are the effect of this new technology on the employees’ numbers and turnover in the companies.الغرض: تهدف هذه البحث إلى استكشاف المزيد من وظائف نظم معلومات الموارد البشرية وتأثيرها على أداء المنظمة. بالإضافة إلى ذلك، تقترح هذه البحث استنتاجًا حول فعالية نظم معلومات الموارد البشرية في وظائف إدارة الموارد البشرية وأداء الشركةالتصميم / المنهج / النهج: ستتم دراسة العناصر والمتغيرات وعلاقتها من الجانب الإيجابي أو السلبي باستخدام الأساليب الكميةالنتائج: هناك علاقة إيجابية بين نظم معلومات الموارد البشرية ووظائف إدارة الموارد البشرية وأداء المنظمةقيود البحث: تأثير هذه التكنولوجيا الجديدة على عدد الموظفين ومعدل الانتقال في الشركات هي القيود على البحث
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".