Effect of Strategic Planning of Human Resources in Management Performance
Bibliographic record
Abstract
Strategic planning is an important stage in the administrative process, as it is considered a specific thinking process and style of work that enables the company to choose the best alternatives that correspond to the company's capabilities and the goals it seeks to achieve. This study aimed to find out the impact of strategic planning for human resources with its dimensions (environmental variables, needs assessment, dealing with results, human resources plan) on the performance of project management with its dimensions (time, cost, safety, quality), and to determine the strategic interaction between (HRP) on the performance of project management in infrastructure contracting companies and its role in facing external challenges. The study used the descriptive approach, through which the researcher developed a scale to answer the questions of the study. The study sample consisted of 120 employees in infrastructure contracting companies, they were divided into non-overlapping groups. The results showed the impact of strategic planning for human resources on the performance of construction project management and its contribution to raising the level of readiness of construction companies in facing external challenges and enabling them to compete with international companies, in addition to the contribution of strategic planning in facing the negative effects resulting from the Corona pandemic. The results are according to the company's age, capital, and the size of the company's project. The results of the study also showed that strategic human resource planning helps project management officials in the early detection of expected danger areas and attracts well-equipped workers with the appropriate skills to work efficiently. Doi: 10.28991/CEJ-2022-08-08-014 Full Text: PDF
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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".