Table 1 Descriptive statistics and bivariate correlations.

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

 

Mean

SD

1

2

3

4

5

6

7

8

9

1. GAI

3.78

0.75

(0.92)

        

2. SR

4.74

0.48

0.31**

(0.91)

       

3. SC

4.82

0.63

0.25**

0.25**

(0.84)

      

4. OD

5.14

0.54

0.33**

0.13*

0.05

(0.88)

     

5. Liking of AI

3.95

1.31

0.05

0.10

0.12*

−0.07

(0.92)

    

6. CC

5.24

0.37

0.24**

0.36**

0.36**

0.26**

0.11

(0.85)

   

7. Voice quality

4.96

0.73

0.21**

0.14*

0.12*

0.27**

0.03

0.24**

(0.92)

  

8. EC

3.26

0.59

−0.23**

−0.37**

−0.38**

−0.27**

−0.19**

−0.43**

−0.13**

(0.94)

 

9. WCB

3.17

0.50

−0.20**

−0.23**

−0.24**

−0.26**

−0.35**

−0.27**

−0.36**

0.21**

(0.93)

10. Gender

1.45

0.50

0.25**

0.05

−0.02

0.13*

0.05

−0.01

0.13*

−0.07

−0.02

11. Age

35.31

5.50

−0.06

0.03

−0.08

0.07

0.02

0.06

−0.03

−0.04

0.08

12. Tenure

5.13

4.58

−0.03

−0.04

−0.02

−0.03

−0.04

−0.06

−0.10

0.10

0.09

13. Dyadic T

2.57

2.03

0.03

−0.10

0.06

−0.05

−0.03

−0.08

−0.01

0.17*

0.07

 

10

11

12

        

11. Age

0.10

          

12. Tenure

0.06

0.41**

         

13. Dyadic T

−0.08

0.16**

0.55**

        
  1. N = 291; all variables are unstandardized; values on the diagonal in parentheses are Cronbach’s alphas.
  2. GAI GenAI adoption, SR seeking resources, SC seeking challenges, OD optimizing demands, CC career commitment, EC employee cyberloafing, WCB workplace cheating behavior. Dyadic T Dyadic tenure.
  3. *p < 0.05, **p < 0.01.
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