Sustainable procurement in the Canadian construction industry: challenges and benefits
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
Disregard of triple bottom line (TBL) of sustainability is one of the major drawbacks of current construction procurement practices. Sustainable procurement is an emergent concept that can improve procurement practices and enhance the sustainability performance of the construction industry as a whole. Presently, sustainable procurement is still not fully utilized in the Canadian construction industry. A comprehensive literature review showed that the construction industry is still not fully aware about the benefits of using sustainable procurement or ways of implementing the same. This study evaluates challenges encountered in implementing sustainable procurement in the Canadian construction industry. In addition, this study investigates perceptions of construction professionals on the benefits of using sustainable procurement for construction projects. A country wide questionnaire survey and semi-structured interviews were conducted to collect required data. A statistical analysis was performed to rank the challenges and benefits of sustainable procurement. Findings from semi-structured interviews were used to validate the results observed in the statistical analysis. This study revealed that lack of funding is the main challenge for implementing sustainable procurement, while reducing harmful emissions and waste generation was identified as the main benefit. It was concluded that the leadership and commitment of the project owners is the key to fully establish sustainable procurement in the Canadian construction industry.
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 | 0.001 | 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 | 0.001 |
| 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