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Cronbach’s alpha coefficient for reliability analysis
| Construct | Cronbach’s alpha |
|---|---|
| Managerial expertise | 0.82 |
| Financial stability | 0.84 |
| Technical capability | 0.80 |
| Project experience | 0.83 |
| Contextual factors | 0.85 |
| Overall questionnaire | 0.85 |
Statistical summary of the collected data
| Variable | Mean | Standard deviation | Minimum | Maximum |
|---|---|---|---|---|
| Managerial expertise | 3.8 | 0.7 | 2 | 5 |
| Financial stability | 3.5 | 0.8 | 1 | 5 |
| Technical capability | 4.0 | 0.6 | 2 | 5 |
| Project experience | 3.7 | 0.7 | 2 | 5 |
| Contextual factors | 3.6 | 0.8 | 1 | 5 |
Comparing the accuracy of data mining models
| Models | Accuracy criterion |
|---|---|
| Naive Bayes | 48.11 |
| Decision tree | 26.42 |
| Random forest | 13.21 |
| SVM | 13.21 |
| Selected neural network model | 76.42 |
Performance comparison of different models
| Model | R2 | MAPE (%) |
|---|---|---|
| ANN | 0.82 | 12.5 |
| Linear regression | 0.65 | 18.3 |
| Decision tree | 0.70 | 15.2 |
Example of normalised data
| Respondent ID | Managerial expertise | Financial stability | Technical capability | Project experience | Contextual factors |
|---|---|---|---|---|---|
| 1 | 0.75 | 0.80 | 0.60 | 0.70 | 0.65 |
| 2 | 0.60 | 0.55 | 0.75 | 0.65 | 0.70 |
| … | … | … | … | … | … |
| 354 | 0.80 | 0.70 | 0.85 | 0.75 | 0.80 |
Connection coefficients of nodes in the output layer (best model)
| Node | Output Node 1 | Output Node 2 | Output Node 3 | Output Node 4 | Output Node 5 | Output Node 6 |
|---|---|---|---|---|---|---|
| Node 1 | –1.454 | –1.818 | –1.712 | –2.103 | –2.073 | –4.525 |
| Node 2 | –3.075 | –3.961 | –2.565 | –11.451 | –10.190 | 2.895 |
| Node 3 | 2.199 | –4.315 | –0.647 | 0.256 | 2.389 | –1.400 |
| Node 4 | –2.566 | –2.195 | 0.493 | 6.947 | 16.573 | 9.320 |
| Node 5 | –3.351 | –3.045 | –1.206 | –2.245 | –5.482 | –3.947 |
| Node 6 | 9.765 | 10.638 | 2.272 | –3.172 | –14.231 | –23.596 |
| Threshold | –4.720 | –4.891 | –2.454 | –3.010 | –5.765 | –4.569 |
Overview of input variables
| Variable | Type | Description | Indicators |
|---|---|---|---|
| Managerial expertise | Numerical | Measures the level of expertise and experience of the managerial team | Project management plan, supervision team management, coordination of planning, managerial support, adoption of new methods, and continuous monitoring and control |
| Financial stability | Numerical | Assesses the financial health and stability of the organisation | Timely payment, cost planning, planning and control system, project pricing, economic justification, and financial resource creation |
| Technical capability | Numerical | Evaluates the technical skills and capabilities of the organisation | Technical foundation, reporting systems, and optimisation programmes |
| Project experience | Numerical | Reflects the organisation’s experience with similar projects | Project management experience, training and development, and human resources satisfaction |
| Contextual factors | Numerical | Considers external factors that might impact project delivery | Infrastructure, legal obstacles, training, and culture development |
Connection coefficients of nodes in the hidden layer (best model)
| Variable | Node 1 | Node 2 | Node 3 | Node 4 | Node 5 | Node 6 |
|---|---|---|---|---|---|---|
| Managerial | 4.814 | 5.094 | 4.814 | –4.811 | –4.052 | –3.215 |
| Financial | 9.256 | 8.379 | 9.256 | –9.498 | –8.366 | –5.841 |
| Background | 5.696 | 3.822 | 5.696 | –4.698 | –3.133 | –2.998 |
| Optimisation | 2.981 | 2.587 | 2.981 | –2.511 | –2.684 | –1.871 |
| Energy efficiency | 0.581 | 0.510 | 0.581 | –0.940 | 0.019 | –0.506 |
| Bias | –7.437 | 2.136 | –7.437 | 1.524 | 9.801 | –3.991 |
PDMs
| Escrow (one factor) |
| Percentage |
| Unit price |
| Price list (without aggregates or with aggregates) |
| MC |
| BOT |
| Purchase and installation |
| Design, purchase (procurement), and execution (Engineering, Procurement, and Construction – EPC) or design and construction |
| Project delivery systems |
| Multifactorial method (multiple prime) |
| Construction manager method |
| DB method |