Table 4.
Correlations between demographic variables, experience with 3D printing, UTAUT constructs, and general attitude.
| Variables | n b | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Demographic variables | ||||||||||||||||||
| (1) Age | 119 | 35.64 | 12.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| (2) Gender (female vs. male) | 117 | n/a | n/a | -.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| (3) Country classification (developed vs. developing economy) | 119 | n/a | n/a | -.21∗ | -.37∗∗ | — | — | — | — | — | — | — | — | — | — | — | — | — |
| (4) Technology generation (3D virtual vs. software) | 113 | n/a | n/a | .83∗∗ | -.06 | -.13 | — | — | — | — | — | — | — | — | — | — | — | — |
| (5) Early adopter status (1-5) | 103 | 2.80 | 0.85 | -.21 | -.26∗∗ | .37∗∗ | .01 | — | — | — | — | — | — | — | — | — | — | — |
|
| ||||||||||||||||||
| Experience with 3D printing | ||||||||||||||||||
| (6) Years of experience with 3D printing | 101 | 13.33 | 11.36 | .94∗∗ | .08 | -.33∗∗ | .79∗ | .04 | — | — | — | — | — | — | — | — | — | — |
| (7) Number of objects printed | 31 | 2.29 | 0.94 | -.41∗ | -.05 | .02 | -.09 | -.14 | -.45∗ | — | — | — | — | — | — | — | — | — |
| (8) Self-reported level of experience with 3D printing (1-5) | 37 | 2.54 | 1.17 | -.14 | -.03 | .14 | .05 | -.05 | -.02 | .47∗∗ | — | — | — | — | — | — | — | — |
| (9) Self-reported skill level regarding 3D printing (1-5) | 37 | 2.54 | 1.07 | -.12 | -.27 | .32 | .06 | .00 | -.06 | .28 | .69∗∗ | — | — | — | — | — | — | — |
|
| ||||||||||||||||||
| UTAUT constructs and general attitude | ||||||||||||||||||
| (10) Behavioural intention to use 3D printing in one's job (BIU) (1-5) | 105 | 3.55 | 0.91 | .09 | -.20∗ | .42∗∗ | .07 | .50∗∗ | .01 | .23 | -.06 | -.08 | — | — | — | — | — | — |
| (11) Performance expectancy (PE) (1-5) | 117 | 3.40 | 0.83 | -.06 | -.14 | .47∗∗ | -.19∗ | .30∗∗ | -.10 | .08 | -.01 | -.06 | .62∗∗ | — | — | — | — | — |
| (12) Effort expectancy (EE) (1-5) | 110 | 3.49 | 0.54 | -.08 | .00 | .09 | -.10 | .03 | -.14 | .10 | .00 | .11 | .23∗ | .19 | — | — | — | — |
| (13) Social influence (SI) (1-5) | 110 | 2.76 | 0.73 | .21∗ | -.14 | .28∗ | .18 | .48∗∗ | .18 | .00 | -.04 | -.09 | .62∗∗ | .60∗∗ | .09 | — | — | — |
| (14) Facilitating conditions (FC) (1-5) | 107 | 3.21 | 0.63 | .10 | -.13 | .23∗ | -.06 | .47∗∗ | .07 | .00 | -.05 | -.05 | .62∗∗ | .56∗∗ | .15 | .57∗∗ | — | — |
| (15) General attitude towards using 3D printing in one's job (1-7) | 100 | 5.63 | 1.11 | .17 | -.27∗∗ | .26∗ | .09 | .34∗∗ | .11 | .21 | .27 | .26 | .57∗∗ | .61∗∗ | .15 | .54∗∗ | .52∗∗ | — |
aGrey cells indicate significant correlations (∗p < .05; ∗∗p < .01). bThis column shows the number of participants who answered all scale items for the constructs.