理解开放政府:一个概念框架和未来研究思路

IF 2.7 Q2 PUBLIC ADMINISTRATION
José Ramón Gil-García, Mila Gascó-Hernández, T. Pardo
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引用次数: 0

摘要

在过去十年中,开放政府被认为是行政改革和治理转型的有力工具,特别是通过提高透明度和公民参与战略。虽然在此期间对开放政府进行了广泛的研究,但大多数研究都强调了它与信息获取和透明度的联系,而没有明确分析与公民参与相关的其他组成部分,例如与公众的参与和合作,或者信息技术作为开放政府的重要推动者的作用。同样,关注开放政府的研究也未能清楚地识别和解释它的一些潜在结果,比如改善政府绩效、加强问责制、增强政府的合法性和信任——这些都是公共行政学研究了几十年的主题。关于开放政府的组成部分和结果的研究流通常是彼此孤立地发展起来的,每一种研究都只考虑有限数量的变量,相对而言,很少有人试图系统地将它们联系起来。为了解决这一差距,本文提出了一个开放政府框架,该框架整合了与开放政府相关的多个概念,并将它们分类为构成部分或潜在结果。文章还提出了一些建议,说明如何使用该框架来设想未来的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Making Sense of Open Government: A Conceptual Framework and Ideas for Future Research
In the last decade, open government has been considered a powerful tool for administrative reform and governance transformation, particularly through transparency improvements and citizen engagement strategies. Although extensive research has been conducted on open government during this period, most studies highlight its links to information access and transparency and do not explicitly analyze other components related to citizen engagement, such as participation and collaboration with the public or the role of information technologies as an important enabler of open government. Similarly, studies focused on open government have failed to clearly identify and explain several of its potential results, such as improved government performance, greater accountability, and enhanced legitimacy and trust in government—all themes studied in Public Administration for decades. The streams of research on open government’s components and results have generally developed in isolation from one another, each considering a limited number of variables, with relatively few attempts to systematically connect them. As an effort to begin addressing this gap, this article proposes an open government framework that integrates multiple concepts related to open government and categorizes them as either constitutive components or potential results. The article also suggests a few propositions that illustrate how the framework could be used to envision future studies.
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来源期刊
CiteScore
5.30
自引率
6.20%
发文量
28
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