134 research outputs found

    Co-Production in Digital Transformation of Public Administration and Public Value Creation:The case of Denmark

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    Public administrations are investing in the digital transformation of their citizen-oriented services and internal administrative processes. They are using co-production approaches and include different types of stakeholders into these transformative processes to increase service quality and generate public value. In this study, we investigate how these co-production approaches are implemented in both digital strategy formulation and implementation in Denmark. We identify four different types of public value: citizen, economic, administrative and societal public value.publishe

    Big Data und Data-Science-AnsÀtze in der öffentlichen Verwaltung

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    Big Data und Data-Science-AnsĂ€tze finden Einzug in die öffentliche Verwaltung. Dieses Kapitel bietet zunĂ€chst eine Definition von Big Data in der öffentlichen Verwaltung an und leitet die unterschiedlichen Datenquellen fĂŒr historische, Echtzeit- und prĂ€diktive Big-Data-Analysen ab. Danach werden Beispiele fĂŒr organisationale Einheiten in der öffentlichen Verwaltung erlĂ€utert, die Big-Data-Analysen durchfĂŒhren. Anhand der folgenden drei ausgewĂ€hlten Beispiele wird das Potenzial von Big Data aufgezeigt: USGS »Did you feel it?«-Twitter-Karten, prĂ€diktive Analysen in Finanzbehörden und Vorhersagen von Grippewellen mit Hilfe von Google Flu Trends. Aus diesen und weiteren Beispielen werden dann die Herausforderungen fĂŒr die Verwendung von Big Data und Data-Science-AnsĂ€tzen in der öffentlichen Verwaltung erlĂ€utert sowie offene Forschungsfragen fĂŒr die Verwaltungswissenschaft abgeleitet

    Prosocial Motivation of Private Sector IT Professionals Joining Government

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    Attracting highly skilled IT talent has become a priority and an immense burden for government organizations—especially when they have other—higher paying—employment opportunities. We set out to explore why IT professionals choose a government job to make an impact on society. We aim at disentangling the effects of different types of motives, such as extrinsic, intrinsic, and other-oriented motivational forces on the decision to accept a challenging government IT job. We use self-determination theory (SDT) to analyze publicly available statements of former private sector IT professionals reporting their reason for joining 18F. Our study is one of the first attempts to use SDT as a comprehensive framework for conducting qualitative research into work motivation in the public sector. We shed light on the conceptual and empirical distinctiveness of motives, behaviors, and perceptions of prosocial impact, which are often lumped together in the public service motivation (PSM) literature. We contribute novel empirical evidence to a nascent stream of research that uses SDT to disentangle the intrinsic, prosocial, and purely extrinsic motives that drive individuals' decisions to join public-sector organizations

    Digitally-induced change in the public sector : a systematic review and research agenda

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    Digital transformation has become a buzzword that is permeating multiple fields, including public administration and management. However, it is unclear what is transformational and how incremental and transformational change processes are linked. Using the PRISMA method, we conduct a systematic literature review to structure this growing body of evidence. We identified 164 studies on digitally-induced change and provide evidence for their drivers, implementation processes, and outcomes. We derive a theoretical framework that shows which incremental changes happen in public administrations that are implementing digital technologies and what their cumulative, transformative effects are on society as a whole.© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons. org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.fi=vertaisarvioitu|en=peerReviewed

    What does Big Data mean to public affairs research? Understanding the methodological and analytical challenges

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    The term ‘Big Data’ is often misunderstood or poorly defined, especially in the public sector. Ines Mergel, R. Karl Rethemeyer, and Kimberley R. Isett provide a definition that adequately encompasses the scale, collection processes, and sources of Big Data. However, while recognising its immense potential it is also important to consider the limitations when using Big Data as a policymaking tool. Using this data for purposes not previously envisioned can be problematic, researchers may encounter ethical issues, and certain demographics are often not captured or represented

    Networks, Hierarchies, and Markets: Aggregating Collective Problem Solving in Social Systems

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    How do decentralized systems collectively solve problems? Here we explore the interplay among three canonical forms of collective organization--markets, networks, and hierarchies--in aggregating decentralized problem solving. We examine these constructs in the context of how the offices of members of Congress individually and collectively wrestle with the Internet, and, in particular, their use of official websites. Each office is simultaneously making decisions about how to utilize their website. These decisions are only partially independent, where offices are looking at each other for lessons, following the same directives from above about what to do with the websites, and confront the same array of potential vendors to produce their website. Here we present the initial results from interviews with 99 Congressional offices and related survey of 100 offices about their decisions regarding how to use official Member websites. Strikingly, we find that there are relatively few efforts by offices to evaluate what constituents want or like on their websites. Further, we find that diffusion occurs at the "tip of the iceberg": offices often look at each others' websites (which are publicly visible), but rarely talk to each other about their experiences or how they manage what is on their websites (which are not publicly visible). We also find that there are important market drivers of what is on websites, with the emergence of a small industry of companies seeking to serve the 440 Members. Hierarchical influences--through the House and through the party conferences--also constrain and subsidize certain practices.

    Living Labs for Public Sector Innovation:Insights from a European case study

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    Living labs have gained increased attention in research and practice as both a practical and theoretical innovation phenomenon that emphasizes co-creation, real-life settings, and user/customer involvement. More recently, living labs have also emerged as a specific approach to open innovation processes in the context of publics across the EU. Nevertheless, it is still not clear how the understanding of living labs can be translated and organized into new sectorial settings, what type of public sector innovation challenges it addresses, and what role citizens and users have. The aim of this article is therefore to explore and analyze how living labs are applied as processes for public sector innovation. Based on a mixed method approach of 21 European living lab cases, the analysis reveals a pattern of three different processes for living lab organizational and actor roles: living labs organized as cross-sectorial collaboration, living labs emerging within the public sector as main initiator and beneficiary, and living labs developed by civil society actors. The findings are presented as three scenarios for implementing living labs, which also acts as a background for the article's final discussion about the potentials and pitfalls of living labs in public sector contexts.publishe
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