Table 2.
EFA to validate the I4.0 base technologies construct (Adapted from Frank et al., 2019).
| Variables | Mean | Std. Dev. | Communalities | Base Technologies [BASE_TECH] |
|---|---|---|---|---|
| Big data | 3.49 | 1.78 | 0.79 | 0.890 |
| Internet of Things (IoT) | 3.68 | 1.79 | 0.63 | 0.794 |
| Cloud computing | 3.76 | 1.84 | 0.73 | 0.853 |
| Analytics (e.g. machine learning and data mining) |
3.83 |
1.77 |
0.70 |
0.834 |
| Extraction sums of squared loadings | 2.85 | |||
| % of variance | 71.13 | |||
| Cronbach's alpha | 0.856 | |||
| KMO measure of sampling adequacy | 0.812 | |||
| Bartlett's test of sphericity (χ2/df) | 196.450/6** | |||
Notes: Extraction method: Principal Component Analysis; ** p-value < 0.01.