Lean construction and BIM in small and medium-sized enterprises (SMEs) in construction: a systematic literature review
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
Lean construction (LC) and building information modeling (BIM) are two of the prominent concepts challenging the traditional practices in construction management. Small and medium-sized enterprises (SMEs) often constitute the largest group in construction supply chains. Increasing BIM and LC adoption amongst SMEs is a key condition for achieving the transformation of the construction industry through BIM and LC. The paper presents a systematic literature review of the adoption of (i) LC, (ii) BIM, and (iii) both LC and BIM in SMEs to evaluate the current literature, and 114 papers were included in the review. The bibliographic and content characteristics of the literature were discussed in detail. It was found that despite the importance of SMEs, the current LC and BIM literature falls short in terms of both number of publications and content of publications. The paper concludes with some generic suggestions for future research and action.
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 | 0.000 |
| 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 it