%0 Conference Proceedings
%T Data Science or Process Science? How to Promote the Next Digital Transformation in the Public Sector
%+ German International University in Berlin (GIU Berlin)
%A Klischewski, Ralf
%Z Part 1: Digital Transformation
%< avec comité de lecture
%@ 978-3-030-84788-3
%( Lecture Notes in Computer Science
%B 20th International Conference on Electronic Government (EGOV)
%C Granada, Spain
%Y Hans Jochen Scholl
%Y J. Ramon Gil-Garcia
%Y Marijn Janssen
%Y Evangelos Kalampokis
%Y Ida Lindgren
%Y Manuel Pedro Rodríguez Bolívar
%I Springer International Publishing
%3 Electronic Government
%V LNCS-12850
%P 3-15
%8 2021-09-07
%D 2021
%R 10.1007/978-3-030-84789-0_1
%K Data science
%K Process science
%K Digital transformation
%K Public sector
%K Public value
%K Digital government research
%K Paradigm
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%Z WG 8.5
%2 https://inria.hal.science/hal-04175113/document
%2 https://inria.hal.science/hal-04175113/file/516887_1_En_1_Chapter.pdf
%L hal-04175113
%U https://inria.hal.science/hal-04175113
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-EGOV
%~ IFIP-WG8-5
%~ IFIP-LNCS-12850