Collecting **data** from the same source (employees) may cause common method bias. Measures were taken to reduce the possible common method bias during **data** collection, such as using leader-member pairing mode and multiple sources. Specifically, independent variables and dependent variables were collected separately, by having leaders instead of employees report on employee innovative behavior. Furthermore, this study also used Harman's single-factor test to examine the possible common method deviations. The results showed that the most covariance explained by one factor was 20.7%, less than the cutoff value of 50%. The cumulative can explain 71.40% of the variance. As no single factor explained large variance, common method bias was not a potential problem in our study.