2013
DOI: 10.1098/rsta.2012.0382
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The second wave of digital-era governance: a quasi-paradigm for government on the Web

Abstract: Widespread use of the Internet and the Web has transformed the public management 'quasiparadigm' in advanced industrial countries. The toolkit for public management reform has shifted away from a 'new public management' (NPM) approach stressing fragmentation, competition and incentivization and towards a 'digital-era governance' (DEG) one, focusing on reintegrating services, providing holistic services for citizens and implementing thoroughgoing digital changes in administration. We review the current status o… Show more

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Cited by 273 publications
(249 citation statements)
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References 32 publications
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“…For example, the Data Readiness Concept references this in the organizational capabilities category, where Klievink et al (2016) identify IT governance, IT resources, internal attitude, external attitude, legal compliance, data governance and data science expertise as relevant factors for dealing with big data. Similarly, the DEG framework incorporates the idea that the levels of literacy connected to new technologies within government are often low and government workers have to be trained in new skills (Margetts and Dunleavy 2013). The evidence-based policymaking framework also addresses this in form of 'political analytical capacity' of governments (Sanderson 2006;Pawson 2006;Nutley et al 2007;Howlett 2009).…”
Section: Data Culture Within Public Organizationsmentioning
confidence: 99%
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“…For example, the Data Readiness Concept references this in the organizational capabilities category, where Klievink et al (2016) identify IT governance, IT resources, internal attitude, external attitude, legal compliance, data governance and data science expertise as relevant factors for dealing with big data. Similarly, the DEG framework incorporates the idea that the levels of literacy connected to new technologies within government are often low and government workers have to be trained in new skills (Margetts and Dunleavy 2013). The evidence-based policymaking framework also addresses this in form of 'political analytical capacity' of governments (Sanderson 2006;Pawson 2006;Nutley et al 2007;Howlett 2009).…”
Section: Data Culture Within Public Organizationsmentioning
confidence: 99%
“…Both are built on the assumption that data-and technology-driven innovations in government need an infrastructure for creating value from data and are closely linked to the e-government idea of technologies transforming government toward being more responsive and accountable (Jetzek 2016). The DEG concept is a successor of the 'new public management' concept and is defined as a new macro-theory for public sector development (Margetts and Dunleavy 2013). In the DEG research stream, Dunleavy et al (2006) find that technology and digitization in public services are largely portrayed as effortless and a 'good thing', but that in reality, government lags behind development in the private sector, which leads to low levels of literacy connected to new technologies and at times even computers in general.…”
Section: Data-based Policymaking Frameworkmentioning
confidence: 99%
“…The public sector imagined by these organisations is adaptive, interactive, and personalised, and is intended to shape and activate a new kind of interactive citizen subject, a subject who would participate interactively in the production of personalised services through feedback loops facilitated by the algorithmic powers of software systems, data analytics, and predictive technologies. This is an extreme form of human-computer interaction in digital governance utilising "zero-touch technologies" that can act autonomously of human oversight (Margetts & Dunleavy 2013) in order to automate and digitize the interaction between government and citizen. Algorithmic governance functions through collecting, collating and calculating the data of citizens in order to predict their probable future needs, and by automating the process of personalisation.…”
Section: Resultsmentioning
confidence: 99%
“…First, the promotion of much greater DIY participation in the co-production and personalisation of services (Needham 2011); and second, algorithmic techniques of data collection, calculation and machine learning that have the capacity to "see," "know," and "anticipate" citizens' lives and thus to make them amenable to governing (Ruppert 2012). Co-production and personalisation, mediated and augmented by human-computer interaction and machine learning, are being embedded by these organisations at the centre of their model vision for governing the future of public services (Margetts & Dunleavy 2013).…”
Section: Public Service Governancementioning
confidence: 99%
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