印度尼西亚廖内省2019冠状病毒病大流行期间通过数字化服务实现公共服务转型

IF 0.3 Q4 POLITICAL SCIENCE
Panca Setyo Prihatin, Pahmi Amri, A. Wicaksono
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引用次数: 0

摘要

本文的目的是展示廖内省政府如何向善治的方向转变基于数字服务的公共服务。然后,本文使用定性分析方法,以Nvivo 12 Plus为分析工具,将在线媒体网站的数据可视化。本研究结果表明,在新冠疫情期间,廖内省数字化服务型公共服务的转型可以从三个方面来看,即:第一,在透明度方面,廖内省政府实施了数字化服务,使其更容易获得。其次,在问责制方面,每个公共服务提供者已经对如何实施数字服务有了深刻的理解。然而,数字服务的实施仍然面临挑战,需要在偏远和欠发达地区的一些地方改善互联网网络质量。第三,在效力和效率方面,廖内省政府在公共服务创新方面获得了各种奖项,并推出了旨在帮助受Covid-19影响的社区的Mata Bansos应用程序。因此,本研究以建议的形式作出贡献,通过利用现有的数字服务应用程序,进一步整合尚未与数字服务集成的公共服务,继续改善公共服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Public service transformation trough digital-based services during Covid-19 pandemic in Riau Province, Indonesia
The purpose of this paper is to show how the Riau Provincial Government might transform public services based on digital services in the direction of good governance. This paper then uses a qualitative analysis method with Nvivo 12 Plus as an analytical tool to visualize data from online media sites. The findings of this study indicate that during the Covid-19 pandemic, the transformation of digital service-based public services in Riau Province can be seen from three aspects, namely: First, on the transparency aspect, the Riau Provincial Government has implemented digital services so that they can be more easily accessed. Second, in terms of accountability, every public service provider already has a strong understanding of how to implement digital services. However, the implementation of digital services still faces challenges and requires improving aspects of internet network quality in several locations in remote and underdeveloped areas. Third, in terms of effectiveness and efficiency, the Riau Provincial Government has received various awards for public service innovations and has launched the Mata Bansos application which is intended to help communities affected by Covid-19. Therefore, this research contributes in the form of recommendations to continue to improve public services by utilizing existing digital service applications and further integrating public services that have not been integrated with digital-based services.
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来源期刊
自引率
33.30%
发文量
6
审稿时长
12 weeks
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