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Untangling the Relationship Between Public Service Automation and No-Stop Government
Linköping University, Department of Management and Engineering, Information Systems and Digitalization. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0002-4735-8697
ERCIS, University of Münster, Münster, Germany.
2023 (English)In: Electronic Government / [ed] Ida Lindgren, Csaba Csáki, Evangelos Kalampokis, Marijn Janssen, Gabriela Viale Pereira, Shefali Virkar, Efthimios Tambouris, Anneke Zuiderwijk, Springer Nature Switzerland , 2023, p. 83-94Conference paper, Published paper (Refereed)
Abstract [en]

Public service automation and no-stop government are currently two intensively discussed concepts in digital government literature. Although their definitions point to different meanings, some scholars equate the terms and use them interchangeably. Since a clear shared understanding is crucial for scholars to produce reliable research, this conceptual paper aims to shed light on the two terms and support conceptual clarity. We investigate the meaning and relationship between the concepts of public service automation and no-stop government in digital government research. We review the meaning of each concept and discuss the relationship between the two. Thereby, we show that both terms refer to the substitution of a human in public service delivery, but differences lie in the arrangement of the substitution. In automation, a machine substitutes a public official. In contrast, in no-stop government the public organization substitutes the client. We illustrate the relationship between the two concepts using a three-sided model, showing how the use of digital technologies can create an overlap between the two concepts. This conceptual understanding can be used to guide future research and theorizing in the digital government domain.

Place, publisher, year, edition, pages
Springer Nature Switzerland , 2023. p. 83-94
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 14130
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:liu:diva-203818DOI: 10.1007/978-3-031-41138-0_6ISBN: 9783031411373 (print)ISBN: 9783031411380 (electronic)OAI: oai:DiVA.org:liu-203818DiVA, id: diva2:1861233
Conference
22nd IFIP WG 8.5 International Conference, EGOV 2023, Budapest, Hungary, September 5–7, 2023
Available from: 2024-05-27 Created: 2024-05-27 Last updated: 2024-06-05Bibliographically approved

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Lindgren, Ida

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Total: 26 hits
CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf