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dc.contributor.authorBley, Katja
dc.contributor.authorHentschel, Raoul
dc.contributor.authorPappas, Ilias
dc.date.accessioned2023-02-23T13:48:23Z
dc.date.available2023-02-23T13:48:23Z
dc.date.created2022-12-23T14:43:01Z
dc.date.issued2022
dc.identifier.citationBley, K., Hentschel, R. & Pappas, I. (2022). An Information Systems Design Theory for Digital Broker Platforms. Lecture Notes in Computer Science (LNCS), 13229, 5-16.en_US
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/11250/3053660
dc.descriptionAuthors accepted manuscripten_US
dc.description.abstractService platforms are becoming dominant drivers of daily business operations in a digitalized environment. Research focuses on technological and network effects of such platforms, while socio-technical opportunities remain limited. Guidance support in selecting appropriate digital services on a multisided market platform may help companies with low domain knowledge as it increases their benefits by reducing existing barriers in adopting emerging technologies. We adapt the concept of a broker to a digital platform, which instantiates guidance support on multisided markets as core platform element. Further, we abstract the concept of a digital broker platform as an Information Systems (IS) design theory. By providing the necessary components of an IS design theory, we offer the possibility to derive digital broker platform artifacts, which are theoretically and conceptually grounded. We provide design principles for the method artifact and describe their applicability in an exemplary instantiation of the design theory in the domain of cloud computing. Lastly, we present the artifact’s mutability as well as its testable propositions.en_US
dc.description.abstractAn Information Systems Design Theory for Digital Broker Platformsen_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.titleAn Information Systems Design Theory for Digital Broker Platformsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© 2022 Springer Nature Switzerland AGen_US
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Biblioteks- og informasjonsvitenskap: 320en_US
dc.subject.nsiVDP::Samfunnsvitenskap: 200en_US
dc.source.pagenumber5-16en_US
dc.source.volume13229en_US
dc.source.journalLecture Notes in Computer Science (LNCS)en_US
dc.identifier.doihttps://doi.org/10.1007/978-3-031-06516-3_1
dc.identifier.cristin2097254
cristin.qualitycode1


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