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  2. School of Management and Law
  3. Publikationen
  4. Publikationen School of Management and Law
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dc.contributor.authorGeppert, Tim-
dc.contributor.authorDal Fuoco, Alice-
dc.contributor.authorLeikert-Boehm, Ninja-
dc.contributor.authorDeml, Stefan-
dc.contributor.authorSturzenegger, David-
dc.contributor.authorEbert, Nico-
dc.date.accessioned2024-03-09T18:19:48Z-
dc.date.available2024-03-09T18:19:48Z-
dc.date.issued2023-09-10-
dc.identifier.urihttps://aisel.aisnet.org/wi2023/1/de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/30155-
dc.descriptionPart of Track 5: Data Science & Business Analyticsde_CH
dc.description.abstractFor organizations, the use of Big Data and data analytics provides the opportunity to gain competitive advantages and foster innovation. In most of these data analytics initiatives, it is possible that data from external stakeholders could enrich the internal data assets and lead to enhanced outcomes. Currently, no framework is available that systematically guides practitioners in identifying and evaluating suitable inter-organizational data collaborations at an early stage. This paper closes the gap by following an action design research approach to develop the Data Collaboration Canvas (DCC). The DCC was rigorously evaluated by practitioners from Swiss organizations in six different industries, instantiated in four workshops, and used to guide innovative data collaboration projects. This artifact gives practitioners a guideline for identifying data collaboration opportunities and an insight into the main factors that must be addressed before further pursuing a collaborative partnership.de_CH
dc.language.isoende_CH
dc.publisherAssociation for Information Systemsde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectData sharingde_CH
dc.subjectData collaborationde_CH
dc.subjectDSRde_CH
dc.subjectCanvasde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc650: Managementde_CH
dc.titleThe data collaboration canvas : a visual framework for systematically identifying and evaluating organizational data collaboration opportunitiesde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitInstitut für Wirtschaftsinformatik (IWI)de_CH
zhaw.conference.details18th International Conference on Wirtschaftsinformatik, Paderborn, Germany, 18-21 September 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start103de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsWirtschaftsinformatik 2023 Proceedingsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Management and Law

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Geppert, T., Dal Fuoco, A., Leikert-Boehm, N., Deml, S., Sturzenegger, D., & Ebert, N. (2023). The data collaboration canvas : a visual framework for systematically identifying and evaluating organizational data collaboration opportunities [Conference paper]. Wirtschaftsinformatik 2023 Proceedings, 103. https://aisel.aisnet.org/wi2023/1/
Geppert, T. et al. (2023) ‘The data collaboration canvas : a visual framework for systematically identifying and evaluating organizational data collaboration opportunities’, in Wirtschaftsinformatik 2023 Proceedings. Association for Information Systems, p. 103. Available at: https://aisel.aisnet.org/wi2023/1/.
T. Geppert, A. Dal Fuoco, N. Leikert-Boehm, S. Deml, D. Sturzenegger, and N. Ebert, “The data collaboration canvas : a visual framework for systematically identifying and evaluating organizational data collaboration opportunities,” in Wirtschaftsinformatik 2023 Proceedings, Sep. 2023, p. 103. [Online]. Available: https://aisel.aisnet.org/wi2023/1/
GEPPERT, Tim, Alice DAL FUOCO, Ninja LEIKERT-BOEHM, Stefan DEML, David STURZENEGGER und Nico EBERT, 2023. The data collaboration canvas : a visual framework for systematically identifying and evaluating organizational data collaboration opportunities. In: Wirtschaftsinformatik 2023 Proceedings [online]. Conference paper. Association for Information Systems. 10 September 2023. S. 103. Verfügbar unter: https://aisel.aisnet.org/wi2023/1/
Geppert, Tim, Alice Dal Fuoco, Ninja Leikert-Boehm, Stefan Deml, David Sturzenegger, and Nico Ebert. 2023. “The Data Collaboration Canvas : A Visual Framework for Systematically Identifying and Evaluating Organizational Data Collaboration Opportunities.” Conference paper. In Wirtschaftsinformatik 2023 Proceedings, 103. Association for Information Systems. https://aisel.aisnet.org/wi2023/1/.
Geppert, Tim, et al. “The Data Collaboration Canvas : A Visual Framework for Systematically Identifying and Evaluating Organizational Data Collaboration Opportunities.” Wirtschaftsinformatik 2023 Proceedings, Association for Information Systems, 2023, p. 103, https://aisel.aisnet.org/wi2023/1/.


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