虚拟状态，你在哪里？失败的数字化转型的文献综述、框架和议程

IF 6.5 1区社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Big Data & Society Pub Date : 2023-01-01 DOI:10.1177/20539517231160528

Shirley Kempeneer, Frederik Heylen

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引用次数: 2

摘要

物联网的用户、传感器和网络产生了大量的数据。考虑到复杂的（人工智能的）算法、计算能力和可用的软件，我们预计政府将成功完成向Jane Fountain（2001）的“虚拟国家”的数字化转型。在实践中，尽管投入了大量资金，但政府往往未能以高效、适当或公平的方式实施新的数字技术。本文概述了技术理性和社会政治失败，以及在宏观、中观和微观层面支持数字化转型的解决方案。经过审查的文章提出了一种适度的数字化转型方法，强调高质量的内部IT基础设施和专业知识，但也强调了更好的协作网络和强有力的领导力，以确保人力监督。

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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Virtual state, where are you? A literature review, framework and agenda for failed digital transformation

The users, sensors and networks of the Internet of Things generate huge amounts of data. Given the sophisticated (artificially intelligent) algorithms, computing power and software available, we would expect governments to have successfully completed their digital transformation into Jane Fountain's (2001) ‘Virtual State’. In practice, despite heavy investments, governments often fail to enact new digital technologies in an efficient, appropriate or fair way. This article provides an overview of techno-rational and socio-political failures and solutions at the macro-, meso- and micro-level to support digital transformation. The reviewed articles suggest a modest approach to digital transformation, with an emphasis on high-quality in-house IT infrastructure and expertise, but also better collaborative networks and strong leadership ensuring human oversight.

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来源期刊

Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

10.90

自引率

10.60%

发文量

审稿时长

11 weeks

期刊介绍： Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.