The impact of technological innovation on project management performance: The mediating roles of sustainability culture and top management support
Bibliographic record
Abstract
This study investigates the influence of technological innovation, sustainability culture, and top management support on project management performance in Saudi Arabia's manufacturing sector. Employing a cross-sectional quantitative research design, data was collected from 293 employees using a convenience sampling technique. Structural Equation Modeling (SEM) with SmartPLS software was utilized for data analysis to examine the proposed relationships between the constructs. The findings indicate that technological innovation has a significant positive effect on both sustainability culture and top management support. Furthermore, both sustainability culture and top management support were found to positively influence project management performance. The results underscore the critical role of technological advancements in fostering a culture of sustainability and obtaining strong leadership support, which in turn contributes to enhanced project outcomes. This study offers important insights for the manufacturing sector in Saudi Arabia, particularly as it aligns with the country’s Vision 2030 objectives, aiming to diversify its economy through innovation, sustainability, and enhanced project performance.
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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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".