A principal component analysis of Organisational BIM Implementation
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
BIM implementation by organisations is a bit challenging for many organisations. It has become an essential yardstick for project execution in the construction industry. However, many organisations struggle to achieve its implementation as they are still in the chaotic stage due to the BIM introduction. However, the knowledge of the inherent value and usefulness resulting from BIM implementation can help them transform from the status quo to a new status quo. The study adopted purposive sampling through a quantitative approach to identify the merits of organisational BIM adoption. Data was collected using a structured questionnaire from thirty BIM aligned construction organisations. The study identified the critical BIM benefits to construction organisations. In addition, the structure among the factors was identified through principal cluster analysis and three clusters were identified; these are achieving competitive advantage through BIM adoption, effective organisational process and enhanced work output and achieving project outcome. The results of this study provide insight, and it is instructive to stakeholders in the construction industry to aid BIM diffusion.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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