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Open data in Europe: mapping user groups to future innovation impacts
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1732-3896
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4317-9963
2014 (English)In: IRIS: Selected Papers of the Information Systems Research Seminar in Scandinavia / [ed] Judith Molka-Danielsson; Jacob Nørbjerg; Jan Pries-Heje, AIS Electronic Library (AISeL) , 2014, p. 160-176Conference paper, Published paper (Refereed)
Abstract [en]

This study sets out to advance our understanding of how re-users are being portrayed in policy documents and in a set of topic reports. Drawing on user innovation theories, implications are discussed for the future innovation scene and its main identified user groups: companies and developers, researchers, journalists and non-governmental organisations. Findings reveal differences between the two types of documents, both in relation to the user groups presented and their role in the value chain. While the policy documents mainly acknowledged user groups belonging to the ICT sector and emphasised economic values, the topic reports presented a much more diverse and heterogeneous view of open data users; revealing that there is no ‘one’ user group and impact’, rather, outcomes such as service innovation were related to all user groups. In particular, possible implications for innovation were related to three areas: 1) which re-user groups are acknowledged in the selected policy documents and topic reports?, 2) where in the data value chain are the different re-users placed and what value are they expected to generate?, 3) how might the current way of portraying re-users in policy documents and topic reports influence the shaping of the emerging open data innovation scene? For conclusion, this paper points to the identified simplistic view of user group’s relation to innovation in the policy documents as a possible hindrance for obtaining a broad innovation scene where heterogeneous innovations can emerge.

Abstract [en]

This study set out to advance our understanding of how user groups relate to open data impacts; as envisioned in policy documents and as reported in a set of topic reports. Drawing on user innovation theories, implications are discussed for the future innovation scene and its main identified user groups: companies and developers, researchers, journalists and non-governmental organisations. Findings reveal highly contradicting views of user groups, where the policy documents mainly explicitly acknowledged user groups belonging to the ICT sector and drawing on economic values. The topic reports on the other hand presented a much more diverse and heterogeneous view of open data users; revealing that there is no ‘one user group - one impact’ relation, rather, outcomes such as service innovation were seen in all user groups. In particular, possible implications for innovation was related to three areas; 1) what user groups were acknowledged, 2) what parts of the realisation process user groups engaged in, and, 3) what impact user groups were aiming for. For conclusion, this paper points to the identified simplistic view of user group’s relation to innovation in the policy documents as a possible hindrance for obtaining a broad innovation scene where heterogeneous innovations can emerge.

Place, publisher, year, edition, pages
AIS Electronic Library (AISeL) , 2014. p. 160-176
Series
IRIS Selected Papers of the Information Systems Research Seminar in Scandinavia, ISSN 1891-9863 ; 5
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-37253Local ID: b3a8766d-4154-488a-a029-a1faf444d319OAI: oai:DiVA.org:ltu-37253DiVA, id: diva2:1010751
Conference
Information Systems Research Seminar in Scandinavia : IRIS 37: Designing Human Technologies 10/08/2014 - 13/08/2014
Note
Godkänd; 2015; Bibliografisk uppgift: Nr. 5 (2014): "Designing Human Technologies"; 20141029 (joslas)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-03-15Bibliographically approved

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