Common method variance (CMV) is a frequently occurring problem when data for dependent and independent variables are gathered from the same participants. CMV appears due to high common variance (50%) of a single factor from the dataset. To minimize CMV, the current research employed several measures, such as the proximal methodological separation technique used in the questionnaire. Harman's single-factor test was used to trace such problems with un-rotated factor analysis and eigenvalue greater than one. In the present study, three factors accounted for 62.80% of the total variance, and one single factor explained 44.90%, the highest variance. CMV was not a major concern for this study since a single factor did not account for more than 50% of the variance. In the current study, most respondents were male (74.6%), and the result was consistent with the earlier literature in the same industry. The most common age group was 21-30 (60.5%); more than half of the respondents fall into this age range (21-30). Around 50% of the employees in this survey have a Bachelor's degree, and 46.2% acquired a Master's degree. The highest percentage of the length of service went for 1-5 years (64.2%), and it showed consistency with the study of. In addition, most respondents (70.9%) worked in mid-level positions in the organizations, and the position holders at the lower and top levels were consecutively 11.7% and 17.4%. 1. Summarize the results 2. Evaluate the results