The relationship between the use of information technology and work motivation on work productivity of surakarta city government employees . Explore how IT use & work motivation influence Surakarta City Government employees' productivity. Find motivation is a stronger driver than technology for public service performance.
Purpose - This study aims to examine the influence of information technology utilization and work motivation on the work productivity of civil servants at the Surakarta City Government. It emphasizes the importance of digital transformation and internal motivation in enhancing bureaucratic performance. Design/methodology/approach - This quantitative research employed a survey distributed to 100 respondents selected through cluster sampling across 10 government departments. Data were analyzed using Structural Equation Modeling (SEM-PLS) with the assistance of SmartPLS 4 software. Originality - This study contributes to the ongoing discourse on public sector digitalization by simultaneously assessing the relative influence of technology adoption and work motivation on productivity outcomes in a regional government setting. Findings and Discussion - The findings reveal that both variables significantly affect productivity. Work motivation had a stronger effect (coefficient = 0.751; p < 0.001) than information technology (coefficient = 0.154; p < 0.05). These results indicate that motivational factors are primary drivers of employee performance, while technology acts as a complementary enabler. Conclusion - The study suggests the need for dual-strategy implementation: strengthening internal motivation through supportive policies and improving technology adoption via training and user-centered design to optimize productivity gains in public services.
This study addresses a highly relevant topic in contemporary public administration, examining the interplay between information technology utilization, work motivation, and employee productivity within the Surakarta City Government. Its stated purpose to understand the influence of these factors on civil servant performance is timely, given the ongoing global push for digital transformation and bureaucratic efficiency. The research positions itself as a valuable contribution to the discourse on public sector digitalization, particularly in regional government contexts where specific nuances may exist compared to national-level studies. The methodological approach, utilizing a quantitative survey design with 100 respondents sampled through cluster sampling across ten departments, appears appropriate for exploring the hypothesized relationships. The use of Structural Equation Modeling (SEM-PLS) with SmartPLS 4 is a robust analytical choice for this type of multivariate analysis, enhancing the credibility of the findings. The core findings are clear and impactful: both information technology use and work motivation significantly influence productivity. Crucially, the study highlights that work motivation is a substantially stronger driver (coefficient = 0.751) than information technology (coefficient = 0.154), positioning technology as a complementary enabler rather than the primary impetus for performance. The originality of simultaneously assessing these two critical factors within a regional government setting is a notable strength, offering a more holistic perspective than studies focusing on either factor in isolation. The practical implications are particularly valuable for policymakers, suggesting a dual-strategy approach: fostering internal motivation through supportive policies while concurrently improving technology adoption through targeted training and user-centered design. This study provides a solid foundation for understanding productivity drivers in public service, advocating for a balanced human-centric and technology-enabled approach to public sector improvement.
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