**4. Results**

#### *4.1. Common Method Bias (CMB)*

Since we used employee responses to a questionnaire, the underlying common method bias (CMB) needed to be tested [67]. In order to avoid the risk of common method bias, Harman's single-factor test was adopted to examine whether there was a possible effect of CMB via using SPSS 25.0. The results illustrated that all the main constructs had eigenvalues higher than 1.00 and together accounted for 73.574% of the variance. The first construct accounted for 38.766% of the variance and was below 40.00%. Furthermore, a confirmatory factor analysis was conducted to evaluate CMB using MPLUS 7.0. http://www.statmodel.com/verhistory. shtml (accessed on 17 July 2020) [68]. The fit indices of one single factor model were χ2/df = 17.073, comparative fit index (CFI) = 0.480, Tucker Lewis index (TLI) = 0.415, standardized root mean square residual (SRMR) = 0.171, and root mean squared error of approximation (RMSEA) = 0.214. These were unacceptable and significantly worse than for other measurement models, illustrating that there were several disconnected factors. Thus, CMB may not be a concern in the study.
