*3.1. Descriptive and Preliminary Analyses*

We present the summary of descriptive statistics and bivariate correlations for all the variables included in this research in Table 1. Considering preliminary analyses, missing data, which can occur due to nonresponse to some questions, are a common problem in organizational research [48]. Fichman and Cummings [48] argue that improper treatment of missing data (e.g., listwise deletion, mean imputation) could lead to biased statistical inference using complete case analysis statistical techniques. However, given that we have a reasonably large sample size (*n* = 783), and considering that the percentage of missing data was rather small (less than 1%), we concluded that the missing data had no effect on the results of our study [46].
