PCA on the perception of drones for health-care products delivery
| Communalities | Component matrix | |||
|---|---|---|---|---|
| Perception | Extraction | 1 | Rank | |
| 1 | Attitude towards using technology | 0.724 | 0.851 | 1 |
| 2 | Compatibility | 0.712 | 0.844 | 2 |
| 3 | Performance expectancy | 0.700 | 0.836 | 3 |
| 4 | Personal innovativeness | 0.671 | 0.819 | 4 |
| 5 | Complexity | 0.650 | 0.807 | 5 |
| 6 | Relative advantage | 0.324 | 0.569 | 6 |
| 7 | Invasion of privacy | 0.299 | 0.546 | 7 |
| Communalities | Component matrix | |||
|---|---|---|---|---|
| Perception | Extraction | 1 | Rank | |
| Attitude towards using technology | 0.724 | 0.851 | 1 | |
| Compatibility | 0.712 | 0.844 | 2 | |
| Performance expectancy | 0.700 | 0.836 | 3 | |
| Personal innovativeness | 0.671 | 0.819 | 4 | |
| Complexity | 0.650 | 0.807 | 5 | |
| Relative advantage | 0.324 | 0.569 | 6 | |
| Invasion of privacy | 0.299 | 0.546 | 7 | |
Note(s): Extraction method: principal component analysis. Rotation method: Varimax with Kaiser normalisation;. a. 1 components extracted
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