Management and Cost Control of Construction Projects in Jordan
Bibliographic record
Abstract
The variations in time and quality are vital to the projects' success. Though the cost variation is the most impacting variation, the objective of this study is to recognise the significance of the cost controls in the construction projects in Jordan. Moreover, it aims to determine the factors that lead to reduce these costs. For the methodology, the study used the questionnaire instrument for the data collection. The study sample entailed 154 respondents who hold the responsibility in relevance positions with experiences in contracting and consultants engineering field in Jordan under first and second-grade classification. The study results revealed that there is a significant relationship between cost reduction and all investigated factors, namely, the demographic variables, the pre-execution conditions and specification, and managerial, technical, or financial dimensions. Further, the results showed a significant impact of proper resource planning. In summary, the key factors affecting the project cost during the pre-execution stage involves the appropriate resources planning (i.e., workforce, funds, data). In details, the most critical factors affecting the project cost from managerial dimension are the project manager assignment and integrity of consultant. For the technical dimension, the elements are the skilled workers, the applied methods, the statements and specifications. Lastly, for the fund allocation dimension, the most critical factors that affect the project cost from a financial point of view. Lastly, a set of recommendations are proposed to the project managers to reduce the cost.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 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".