An Approach for a Comprehensive Knowledge Base for a DSS to Determine the Suitability of Open Data Business Models

Johann Schütz (), Dennis Schünke (), Benjamin Wagner vom Berg (), Christian Linder () and Frank Köster ()
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Johann Schütz: OFFIS e. V
Dennis Schünke: Procedo GmbH
Benjamin Wagner vom Berg: University of Applied Science Bremerhaven
Christian Linder: German Aerospace Center (DLR)
Frank Köster: German Aerospace Center (DLR)

A chapter in From Science to Society, 2018, pp 309-318 from Springer

Abstract: Abstract With the technological trends and changes concepts like open data are gaining more and more public attention. Even governments and organizations recognize their data as a new raw material for economic value creation. Thus, an increasing number of organizations recognize the benefits of opening their own data. But opening their data presents the organizations with new challenges. An appropriate business model which considers the individual interests and situation of an organization while taking account on a huge amount of highly diverse influential factors is one of the most complex tasks. This paper investigates the present business models for open data and their accompanying decision factors with the main focus on smart mobility business models. Subsequently an approach for a comprehensive knowledge base, which can be used as a foundation for a decision support, is proposed.

Keywords: Open data; Business models; Decision support; Sustainable mobility (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-65687-8_27

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DOI: 10.1007/978-3-319-65687-8_27

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