Table 4 Results for moderating role of liking of AI (Process Model 1).

From: Generative AI adoption and employee outcomes: a conservation of resources perspective on job crafting, career commitment, and the moderating role of liking of AI

 

Career commitment

 

Effect

SE

t

p

95% CI

Predictors (independent variable = seeking resources)

 Constant

5.228

0.020

261.374

0.000

[5.188, 5.267]

 Seeking resources

0.294

0.042

7.004

0.000

[0.211, 0.376]

 Liking of AI

0.022

0.015

1.437

0.152

[−0.008, 0.052]

 Seeking resources * Liking of AI

0.142

0.032

4.441

0.000

[0.079, 0.205]

 High Liking of AI (+1SD)

0.480

0.062

7.739

0.000

[0.358, 0.602]

 Low Liking of AI (−1SD)

0.108

0.056

1.913

0.057

[−0.003, 0.219]

Predictors (independent variable = seeking challenges)

 Constant

5.232

0.021

253.890

0.000

[5.192, 5.273]

 Seeking challenges

0.211

0.033

6.373

0.000

[0.145, 0.276]

 Liking of AI

0.019

0.016

1.181

0.239

[−0.012, 0.050]

 Seeking challenges * Liking of AI

0.046

0.024

1.905

0.058

[−0.002, 0.094]

Predictors (independent variable = optimizing demands)

 Constant

5.241

0.021

249.777

0.000

[5.199, 5.282]

 Optimizing demands

0.147

0.043

3.463

0.001

[0.064, 0.231]

 Liking of AI

0.035

0.016

2.207

0.028

[0.004, 0.067]

 Optimizing needs * Liking of AI

0.080

0.032

2.521

0.012

[0.018, 0.143]

 High Liking of AI (+1SD)

0.252

0.046

5.465

0.000

[0.162, 0.343]

 Low Liking of AI (−1SD)

0.042

0.070

0.602

0.548

[−0.096, 0.181]

  1. N = 291.
  2. SE standard error, CI confidence interval. Unstandardized coefficients are presented. The indirect effect was significant if the confidence interval did not contain zero.
  3. *p < 0.05. **p < 0.01. (two−tailed).