Figure 1.
Figure 2.
Figure 3.
Component matrix analysis (SPSS Software)
| Component | ||||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| Augmented reality and virtual reality | .681 | |||
| IoT enabled smart textile | .657 | |||
| Development of mobile applications | .547 | -.423 | ||
| Emergence of advanced retail stores | .589 | .235 | ||
| Advanced payment methods | .356 | .614 | ||
| Eco-friendly materials | .421 | |||
| Interactive websites | .661 | |||
| Social media engagement | -.321 | .432 | ||
| AI-powered customer service | .527 | .578 | ||
| Customizable apparel options | .552 | .421 | ||
| User generated content | .621 | .616 | .548 | |
| Virtual fitting rooms | .548 | |||
Results of principal component analysis (SPSS Software)
| Component | Initial Eigen Values | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Total | Variance % | Cumulative % | Total | Variance % | Cumulative % | Total | Variance % | Cumulative % | |
| 1 | 4.826 | 32.902 | 32.902 | 4.826 | 32.902 | 32.902 | 3.317 | 22.736 | 22.725 |
| 2 | 2.415 | 15.388 | 45.892 | 2.415 | 15.388 | 45.892 | 2.854 | 17.238 | 38.925 |
| 3 | 1.589 | 9.573 | 54.754 | 1.589 | 9.573 | 54.754 | 1.957 | 13.572 | 46.257 |
| 4 | 1.179 | 8.275 | 59.127 | 1.179 | 8.275 | 59.127 | 1.547 | 12.482 | 65.185 |
| 5 | .987 | 5.495 | 68.567 | ||||||
| 6 | .756 | 4.886 | 72.147 | ||||||
| 7 | .618 | 4.682 | 76.483 | ||||||
| 8 | .611 | 4.558 | 79.258 | ||||||
| 9 | .579 | 3.925 | 82.985 | ||||||
| 10 | .547 | 3.871 | 88.149 | ||||||
| 11 | .489 | 3.625 | 93.643 | ||||||
| 12 | .432 | 2.820 | 100.00 | ||||||
Rotated component matrix (SPSS Software)
| Component | ||||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| Augmented reality and virtual reality | .681 | |||
| IoT enabled smart textile | .657 | |||
| Development of mobile applications | .547 | |||
| Emergence of advanced retail stores | .589 | |||
| Advanced payment methods | .614 | |||
| Eco-friendly materials | .421 | |||
| Interactive websites | .661 | |||
| Social media engagement | .432 | |||
| AI-powered customer service | .527 | |||
| Customizable apparel options | .552 | |||
| User generated content | .623 | |||
| Virtual fitting rooms | .548 | |||
| Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization | ||||
Status of developed hypothesis statements (Created by authors)
| Number | Hypothesis statement | Status |
|---|---|---|
| H1 | Consumer buying behaviour in the apparel industry in India through the innovation hubs is affected by technical factors | Accepted |
| H2 | Consumer buying behaviour in the apparel industry in India through the innovation hubs is affected by appearance related factors | Accepted |
| H3 | Consumer buying behaviour in the apparel industry in India through the innovation hubs is affected by digital engagement factors | Accepted |
| H4 | Consumer buying behaviour in the apparel industry in India through the innovation hubs is affected by personalization factors | Accepted |
Results of the KMO and Bartlett's test (SPSS software)
| Kaiser-Meyer-Olkin Measure of Sampling Adequacy | .812 | |
|---|---|---|
| Bartlett’s Test of Sphericity | Approx. Chi-Square | 725.402 |
| df | 105 | |
| Sig. | .000 | |