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Mobile e-services and open data in e-government processes: transforming citizen involvement
Department of Informatics, Umeå University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1732-3896
Uppsala University, Informatics, Umeå University.
2015 (English)In: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services (iiWAS2015) / [ed] Maria Indrawan-Santiago; Matthias Steinbauer; Ismail Khalil; Gabriele Anderst-Kotsis, New York: Association for Computing Machinery (ACM), 2015, article id 8Conference paper, Published paper (Refereed)
Abstract [en]

Mobile computing is one of the most important paradigms to influence and enhance modern e-services, mainly due to its anytime and anywhere availability adding value to the delivered service. In a traditional e-government context, the service life cycle takes the form of citizens consuming services provided by public sector bodies. In this paper, we use a novel concept combining mobile e-services and open data to extend and allow possible citizen-driven continuation of the service life cycle. The concept is evaluated throughout the design process, and also becomes the subject of a focus group. Our most important conclusions are that the concept design extends the service life cycle within the public sector context, and also creates new entrances for citizens to participate in generating and acquiring open data, thus transforming citizens' involvement. The result is increased co-operation, as well as increased adoption and availability of data and e-services, enhancing citizen participation

Place, publisher, year, edition, pages
New York: Association for Computing Machinery (ACM), 2015. article id 8
National Category
Information Systems, Social aspects Computer and Information Sciences
Research subject
Information systems; Enabling ICT (AERI); Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-34766DOI: 10.1145/2837185.2837197Scopus ID: 2-s2.0-84966783922Local ID: 90c207f8-4c61-46d2-b3d4-ec42c4f5c05cISBN: 978-1-4503-3491-4 (print)OAI: oai:DiVA.org:ltu-34766DiVA, id: diva2:1008017
Conference
International Conference on Information Integration and Web-based Applications & Services : 11/12/2015 - 13/12/2015
Projects
A belief-rule-based DSS to assess flood risks by using wireless sensor networks
Note
Godkänd; 2015; 20160414 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2025-02-18Bibliographically approved

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Lassinantti, Josefin

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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More languages
Output format
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  • asciidoc
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