Evaluation standards of integrated BIM–AI
| s/n | Sub-constructs and items | FL | NT | α | AV | EV |
|---|---|---|---|---|---|---|
| A | Interoperability of data from BIM and AI platform | 4 | 0.81 | 0.52 | 0.62 | |
| 1 | Data exchange | 0.70 | ||||
| 2 | Data synchronization | 0.70 | ||||
| 3 | Data security | 0.81 | ||||
| 4 | Data privacy | 0.74 | ||||
| B | Employees’ growth and development | 4 | 0.84 | 0.59 | 0.97 | |
| 1 | Job satisfaction | 0.90 | ||||
| 2 | Employee turnover | 0.71 | ||||
| 3 | Specialist knowledge and skills | 0.81 | ||||
| 4 | Training opportunities | 0.77 | ||||
| C | Governance for integrated BIM–AI | 4 | 0.81 | 0.55 | 0.51 | |
| 1 | Transparency | 0.77 | ||||
| 2 | Communication | 0.71 | ||||
| 3 | Innovation | 0.80 | ||||
| 4 | Productivity | 0.78 | ||||
| D | Infrastructure for integrated BIM–AI | 5 | 0.80 | 0.55 | 0.56 | |
| 1 | Processing accuracy | 0.86 | ||||
| 2 | Prediction accuracy | 0.81 | ||||
| 3 | Visualization quality | 0.82 | ||||
| 4 | Ease of use | 0.78 | ||||
| 5 | Operating efficiency | 0.86 | ||||
| E | Finances for integrated BIM–AI | 3 | 0.80 | 0.51 | 0.28 | |
| 1 | Return on investment | 0.78 | ||||
| 2 | Cashflow | 0.71 | ||||
| 3 | Financial results | 0.92 | ||||
| F | Internal process for integrated BIM–AI | 4 | 0.86 | 0.58 | 0.36 | |
| 1 | Activities per function | 0.71 | ||||
| 2 | Automation | 0.72 | ||||
| 3 | Process alignment | 0.71 | ||||
| 4 | Response time | 0.84 | ||||
| G | Client relation through BIM–AI platform | 5 | 0.92 | 0.75 | 1.06 | |
| 1 | Client satisfaction rate | 0.88 | ||||
| 2 | Client retention | 0.96 | ||||
| 3 | Quality performance | 0.90 | ||||
| 4 | Cost reduction | 0.90 | ||||
| 5 | Client acquisition | 0.88 | ||||
| s/n | Sub-constructs and items | FL | NT | α | AV | EV |
|---|---|---|---|---|---|---|
| 4 | 0.81 | 0.52 | 0.62 | |||
| 1 | 0.70 | |||||
| 2 | 0.70 | |||||
| 3 | 0.81 | |||||
| 4 | 0.74 | |||||
| 4 | 0.84 | 0.59 | 0.97 | |||
| 1 | 0.90 | |||||
| 2 | 0.71 | |||||
| 3 | 0.81 | |||||
| 4 | 0.77 | |||||
| 4 | 0.81 | 0.55 | 0.51 | |||
| 1 | 0.77 | |||||
| 2 | 0.71 | |||||
| 3 | 0.80 | |||||
| 4 | 0.78 | |||||
| 5 | 0.80 | 0.55 | 0.56 | |||
| 1 | 0.86 | |||||
| 2 | 0.81 | |||||
| 3 | 0.82 | |||||
| 4 | 0.78 | |||||
| 5 | 0.86 | |||||
| 3 | 0.80 | 0.51 | 0.28 | |||
| 1 | 0.78 | |||||
| 2 | 0.71 | |||||
| 3 | 0.92 | |||||
| 4 | 0.86 | 0.58 | 0.36 | |||
| 1 | 0.71 | |||||
| 2 | 0.72 | |||||
| 3 | 0.71 | |||||
| 4 | 0.84 | |||||
| 5 | 0.92 | 0.75 | 1.06 | |||
| 1 | 0.88 | |||||
| 2 | 0.96 | |||||
| 3 | 0.90 | |||||
| 4 | 0.90 | |||||
| 5 | 0.88 | |||||
Note(s): NT = number of items; FL = factor loading; α = Cronbach Alpha; AV = average variance explained; EV = Eigen value
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