The Impact of Digital Leadership on Motivation and Work Productivity in the Subang Refional Government, West Java
Keywords:
Digital Leadership, MotivationWork ProductivityAbstract
Digital transformation in the public sector requires leadership that is adaptive to technological developments, as well as high work motivation in order to increase employee productivity. This study uses a quantitative approach with multiple linear regression methods to examine the relationship between the independent variables, namely digital leadership and motivation, on the dependent variable, namely ASN work productivity. The results showed that digital leadership has a significant influence on work productivity with a value of B=0.265, Beta=0.492, and a significance level of 0.000. This indicates that the better digital leadership is implemented, the higher employee productivity. In addition, work motivation is also proven to have a significant effect on productivity with a value of B=0.341, Beta=0.340, and a significance level of 0.000. The ANOVA test shows that the overall regression model is significant (F=71.719, Sig. =0.000), which means that digital leadership and motivation together contribute to increasing work productivity. The R Square test result of 0.594 indicates that 59.4% of the variation in work productivity can be explained by digital leadership and motivation, while the remaining 40.6% is influenced by other factors outside this study. The findings imply that the Subang local government needs to improve digital leadership competencies through training for structural officials and strengthen the work motivation system through incentives, career development, and a conducive work environment. In addition, optimizing technology in public administration can be a strategic step in improving the effectiveness and efficiency of employee work. This research recommends further studies by including other factors, such as organizational culture and work-life balance, to obtain a more comprehensive picture of the factors that influence ASN work productivity.
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