Data Science or Process Science? How to Promote the Next Digital Transformation in the Public Sector

被引：0

作者：

Klischewski, Ralf ^{[1
]}

机构：

[1] German Int Univ, Borsigturm 162, D-13507 Berlin, Germany

来源：

ELECTRONIC GOVERNMENT, EGOV 2021 | 2021年 / 12850卷

关键词：

Data science; Process science; Digital transformation; Public sector; Public value; Digital government research; Paradigm;

D O I：

10.1007/978-3-030-84789-0_1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As citizen orientation and public value creation are more in the focus, how do we set priorities for the upcoming digital transformation in the public sector? Distinguishing data science and process science as paradigms that promote different directions for the transformation, this research seeks to improve the transparency of how IT-related decisions are directing projects and resources and thus promoting directions of public value production and delivery. Digital government research along this line may help constituents, IT experts and other stakeholders to engage in the needed discourse about the (not) wanted future of government performance and related technology usage.

引用

页码：3 / 15

页数：13

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