Table 2

Descriptive statistics and correlations

VariableMeanSD12345678910
1. Gender0.5070.5001         
2. Age3.5231.1220.0121        
3. Education2.9250.762−0.0180.152**1       
4. Position2.4921.1190.172**0.614**0.296**1      
5. Tenure3.4771.8720.0570.744**0.222**0.702**1     
6. Experience0.3770.485−0.0720.0020.117**0.0460.0481    
7. AIL3.6840.510−0.045−0.124**0.095*−0.057−0.081*0.213**1   
8. IWB3.4580.6380.0590.0140.111**0.0710.0410.268**0.550**1  
9. OE3.6310.577−0.0110.115**0.143**0.128**0.150**0.202**0.511**0.617**1 
10. MC3.6970.451−0.0370.0480.121**0.0690.0780.185**0.680**0.680**0.703**1

Note(s): n = 621; *p < 0.05, **p < 0.01 (two-tailed tests); gender 0 = female, 1 = male; age 1 = 20s, 2 = 30s, 3 = 40s, 4 = 50s and above; education 1 = high school diploma and below, 2 = two-year college degree, 3 = four-year college degree, 4 = master's or doctoral degree; position 1 = staff, 2 = assistant manager, 3 = manager, 4 = director, 5 = executive; tenure 1 = less than 3 years, 2 = 3 years to less than 6 years, 3 = 6 years to less than 9 years, 4 = 9 years to less than 12 years, 5 = 12 years to less than 15 years, 6 = over 15 years; Experience = experience of AI related training 0 = inexperience, 1 = experience; AIS = AI Literacy; IWB = Innovative Work Behavior; OE=Occupational Expertise; MC = Metacognition

Source(s): Authors’ own work

or Create an Account

Close subscription notice
Close access options