The Role of Knowledge Sharing in Linking Leadership, Team Collaboration, and Environmental Sustainability Practices to Project Success in the Construction Industry
Bibliographic record
Abstract
This study examines how leadership effectiveness, team collaboration, and environmental sustainability practices influence project success, emphasizing the mediating role of knowledge sharing in the construction industry. While prior research has investigated these factors separately, few studies have explored their combined effects through a mediated framework. A quantitative research design was employed, and data were collected from project managers and team leaders using structured questionnaires. Structural equation modeling (SEM) was applied to test the hypothesized relationships and the mediation effect. Results reveal that leadership effectiveness, team collaboration, and environmental sustainability practices positively impact project success, with knowledge sharing significantly mediating these relationships, thereby enhancing their overall influence. The study contributes original insights by integrating leadership, collaboration, and sustainability with knowledge sharing as a mechanism for achieving successful project outcomes. These findings provide actionable guidance for managers and policymakers to improve project performance in the construction industry by fostering effective leadership, collaborative teams, sustainable practices, and active knowledge sharing.
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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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| 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".