Moderation role of government acts, laws and policies between economic factors and risk management: A case study of Saudi Arabia contractors
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
In construction projects, contractors have prioritized risks due to abandonment of operations and events, interruptions, time, and cost overruns. Construction hazards are linked to the ambiguity and unpredictability of the timely delivery of a project, with standard quality and within an allowable budget. The bid process is heavily reliant on economic considerations which include the exchange market, rate of interest and cost inflation for equipment and workforce. Project failure takes place if economic considerations have not complied for effective management of risks in construction. The research framework is founded on Organization Control Theory and focused on the PLS-SEM approach which addresses the effect of economic factors with moderating government regulatory procedures on the management of risks in construction within 303 large (higher than 250 workers) Saudi Arabian contractors. In the PLS-SEM approach, complicated models are effectively analyzed with higher statistical power. The findings show that economic factors and government regulatory procedures have a favorable impact on the management of risks in the Saudi Arabian development industry. Additionally, moderating government regulatory procedures has a favorable correlation to the management of risks in the Saudi Arabian construction sector. By addressing economic considerations, this study enables practitioners, experts and stakeholders involved in construction industries to conduct effective management of risks in the construction 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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it