Unpacking Digital Accountability: Ensuring efficient and answerable e-governance service delivery

Swapnil Sharma, A. Kar, M. Gupta
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引用次数: 5

Abstract

Governments around the world are investing many resources to develop ubiquitous governance networks and information systems; this is seen as the advent of Digital Era Governance (DEG). Government websites or service platforms are replacing the physical offices of government department and in-person state-citizen interactions. It is a transformative shift in not only the workings of the State but also a change in the overall governance ecosystem. Citizens' role as co-creators and participants in policy and initiative design is increasing, and there is a general push for collaborative e-governance. With this study, we attempt to explore how governments can ensure accountability by design and policy, i.e., Digital Accountability in these websites or platforms that are going to act as a one-stop shop for citizens regarding government services. We have taken a multi-method approach to explore the various constituent factors that help build up accountability in any e-government process or websites delivering web services. Best Worst Method (BWM) is employed to find the relative weights of these factors in the chosen context. These are validated using qualitative techniques of Total Interpretative structural modelling, and the Matrix of Cross Impact Multiplications Applied to Classification (TISM-MICMAC). We have also attempted to explore the contextual relationships between these factors and how do they help conceptualise and operationalise digital accountability for e-governance.
拆解数字问责制:确保提供有效和负责任的电子政务服务
世界各国政府正在投入大量资源开发无处不在的治理网络和信息系统;这被视为数字时代治理(Digital Era Governance, DEG)的到来。政府网站或服务平台正在取代政府部门的实体办公室和面对面的国家与公民互动。这不仅是国家工作的变革,也是整个治理生态系统的变革。公民作为政策和倡议设计的共同创造者和参与者的角色正在增加,并且普遍推动协作电子治理。通过这项研究,我们试图探索政府如何通过设计和政策来确保问责制,即在这些网站或平台上建立数字问责制,这些网站或平台将成为公民关于政府服务的一站式商店。我们采用了多种方法来探索有助于在任何电子政府流程或提供网络服务的网站中建立问责制的各种组成因素。采用最佳最差法(Best - Worst Method, BWM)求出这些因素在选定环境中的相对权重。这些都是通过总解释结构建模的定性技术和交叉影响乘法矩阵应用于分类(TISM-MICMAC)进行验证的。我们还试图探索这些因素之间的背景关系,以及它们如何帮助电子政务的数字问责制概念化和操作化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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