This dissertation aims to analyze the impact of digital leadership among local government leaders on organizational agility, verify the mediating roles of innovative behavior and organizational learning, and identify the influencing factors. To explor...
This dissertation aims to analyze the impact of digital leadership among local government leaders on organizational agility, verify the mediating roles of innovative behavior and organizational learning, and identify the influencing factors. To explore the digital leadership of local government leaders and related factors, existing studies were reviewed, and hypotheses were formulated for empirical analysis. Based on this assumption, a survey was conducted among public officials in Daegu, and the hypotheses were verified through statistical analysis. The statistical analysis included factor analysis, reliability analysis, correlation analysis, regression analysis, and Model 8 using the PROCESS macro, resulting in the test of total of five hypotheses.
First, there is a positive correlation between digital leadership and the organizational agility of local government leaders. In particular, a strong positive correlation exists between collaborative performance and interactive communication. It can be seen that as the digital leadership of local government leaders improves, so does their organizational agility. In addition, innovative behavior is positively associated with organizational agility; i.e., a stronger innovative behavior correlates with greater organizational agility. Notably, both innovation sophistication and innovation sharing are strongly positively related to innovative behavior. Further, organizational learning is positively linked to organizational agility, with knowledge utilization and information utilization exhibiting a very strong positive correlation. In the case of organizational agility, encompassing needs identification, change response, rapid strategy formation, quick response, inter-agency collaboration, and expectation fulfillment, quick response and needs identification demonstrate a strong positive correlation.
In the analysis of gender difference, men and women were found to differ significantly. In addition, there is a statistically significant difference in organizational agility among individuals with less than 5 years of experience those with, 6-9 years of experience, and those with 20-25 years of experience, and those who have attended graduate school, as well as among those with a 7th-grade education, a 6th-grade education, and those with a 5th-grade education or higher.
First, in Hypothesis 1, the results of the test examining the positive influence relationship between digital leadership (digital vision, flexibility, change innovation, face-to-face contact, interactive communication, data-based decision-making, collaboration, and emphasis) and organizational agility, such as needs identification, change response, rapid strategy, policy support, inter-agency collaboration, and expectation fulfillment among local government leaders, are as follows. It was confirmed that the digital leadership factor of the head of the basic local government has a significant positive effect on organizational agility.
Second, in Hypothesis 2, the results of the empirical verification of the relationship between digital leadership, comprising digital vision, flexibility, change innovation, and face-to-face contact, and the innovative behavior of local government leaders are as follows: It is confirmed that the digital leadership factors of local government leaders have a significant positive effect on innovation behavior.
Third, in Hypothesis 3, the results of the empirical testing of the hypothesis about the positive influence relationship between innovation behavior, specifically innovation search, innovation sharing, innovation emphasis, innovation elaboration, innovation resources, and innovation application, and organizational agility are as follows. It is confirmed that the factor of innovative behavior have a significant positive effect on organizational agility.
Fourth, in Hypothesis 4, the thesis proposes that the innovative behavior mediates the relationship between digital leadership―digital vision, flexibility, change innovation, face-to-face contact, interactive communication, data-based decision-making, and collaboration―and the emphasis on organizational agility, including need identification, change response, quick strategy, quick response, inter-agency collaboration, and expectation fulfillment among local government leaders. As a result of this analysis, the indirect effect of the independent variable (digital leadership) on the dependent variable (organizational agility) through the mediating variable (innovation behavior) was statistically significant. The lower bound of the confidence interval and the upper bound of the confidence interval do not include zero, thereby confirming that the mediation effect is significant.
Finally, in Hypothesis 5, this thesis analyzed the moderating effect of organizational learning on the relationship between the digital leadership of local government leaders, such as digital vision, flexibility, change innovation, and face-to-face contact, and organizational agility, including need identification, change response, quick strategy formation, rapid response, inter-agency collaboration, and expectation fulfillment. Furthermore, it discussed the mediating effect of innovation behavior.
The hypothetical understanding of the analysis in this thesis indicates that the digital leadership of the head of the local government positively influences organizational agility directly. Moreover, it can have an even greater impact on organizational agility indirectly through the mediation of innovative behavior.