Sample characteristics
| Descriptive | Frequency | Percentage (%) |
|---|---|---|
| Firm size | ||
| Micro | 44 | 32.1 |
| Small | 59 | 43.1 |
| Medium | 26 | 19.0 |
| Large | 8 | 5.8 |
| Industry | ||
| Textile and clothing | 27 | 19.7 |
| Furniture | 26 | 19.0 |
| Fashion | 26 | 19.0 |
| Automotive | 19 | 13.9 |
| Lighting | 14 | 10.2 |
| Leather/Footwear | 11 | 8.0 |
| Electrical motors and parts | 8 | 5.8 |
| Rubber and plastic goods | 6 | 4.4 |
| Industry technology level | ||
| Low/Medium-low | 96 | 70.1 |
| Medium-high/High | 41 | 29.9 |
| Market | ||
| Business-to-Business (B2B) | 84 | 61.3 |
| Business-to-Consumer (B2C) | 53 | 38.7 |
| Industry 4.0 adoption rate | ||
| Laser cutting | 71 | 51.8 |
| Robotics | 67 | 48.9 |
| Big data and cloud | 59 | 43.1 |
| Additive manufacturing | 50 | 36.5 |
| IoT and smart products | 34 | 24.8 |
| 3D scanner | 28 | 20.4 |
| Augmented reality | 20 | 14.6 |
| 1 technology | 41 | 29.9 |
| 2 or more technologies | 96 | 70.1 |
| Descriptive | Frequency | Percentage (%) |
|---|---|---|
| Micro | 44 | 32.1 |
| Small | 59 | 43.1 |
| Medium | 26 | 19.0 |
| Large | 8 | 5.8 |
| Textile and clothing | 27 | 19.7 |
| Furniture | 26 | 19.0 |
| Fashion | 26 | 19.0 |
| Automotive | 19 | 13.9 |
| Lighting | 14 | 10.2 |
| Leather/Footwear | 11 | 8.0 |
| Electrical motors and parts | 8 | 5.8 |
| Rubber and plastic goods | 6 | 4.4 |
| Low/Medium-low | 96 | 70.1 |
| Medium-high/High | 41 | 29.9 |
| Business-to-Business (B2B) | 84 | 61.3 |
| Business-to-Consumer (B2C) | 53 | 38.7 |
| Laser cutting | 71 | 51.8 |
| Robotics | 67 | 48.9 |
| Big data and cloud | 59 | 43.1 |
| Additive manufacturing | 50 | 36.5 |
| IoT and smart products | 34 | 24.8 |
| 3D scanner | 28 | 20.4 |
| Augmented reality | 20 | 14.6 |
| 1 technology | 41 | 29.9 |
| 2 or more technologies | 96 | 70.1 |
Note(s): N = 137
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