Data Service Cards - A Supporting Tool For Data -Driven Business

G. Breitfuss, M. Fruhwirth, C. Wolf-Brenner, A. Riedl, G.A. de Reuver, R. Ginthoer, O. Pimas

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

In the future, every successful company must have a clear idea of what data means to it. The necessary transformation to a data- driven company places high demands on companies and challenges management, organization and individual employees. In order to generate concrete added value from data, the collaboration of different disciplines e.g. data scientists, domain experts and business people is necessary. So far few tools are available which facilitate the creativity and co -creation process amongst teams with different backgrounds. The goal of this paper is to design and develop a hands -on and easy to use card -based tool for the generation of data service ideas that supports the required interdisciplinary cooperation. By using a Design Science Research approach we analysed 122 data service ideas and developed an innovation tool consisting of 38 cards. The first evaluation results show that the developed Data Service Cards are both perceived as helpful and easy to use .
Original languageEnglish
Title of host publicationProceedings of the 33rd Bled eConference
Subtitle of host publicationEnabling Technology for a Sustainable Society, BLED 2020 - Proceedings
EditorsAndreja Pucihar, Mirjana Kljajic Borstnar, Roger Bons, Helen Cripps, Anand Sheombar, Doroteja Vidmar
Pages599-614
Number of pages16
ISBN (Electronic)978-961-286-362-3
DOIs
Publication statusPublished - 2020
Event33rd Bled eConference: Enabling Technology for a Sustainable Society -
Duration: 28 Jun 202028 Jun 2020
http://www.bledconference.org

Publication series

Name33rd Bled eConference: Enabling Technology for a Sustainable Society, BLED 2020 - Proceedings

Conference

Conference33rd Bled eConference
Period28/06/2028/06/20
OtherVirtual/online event due to COVID-19
Internet address

Keywords

  • health, self -management
  • quantified self
  • bioinformatics
  • service design
  • personal medicin

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