The data collaboration canvas : a visual framework for systematically identifying and evaluating organizational data collaboration opportunities

Geppert, Tim; Dal Fuoco, Alice; Leikert-Boehm, Ninja; Deml, Stefan; Sturzenegger, David; Ebert, Nico

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	The data collaboration canvas : a visual framework for systematically identifying and evaluating organizational data collaboration opportunities
Authors:	Geppert, Tim Dal Fuoco, Alice Leikert-Boehm, Ninja Deml, Stefan Sturzenegger, David Ebert, Nico
et. al:	No
Proceedings:	Wirtschaftsinformatik 2023 Proceedings
Page(s):	103
Conference details:	18th International Conference on Wirtschaftsinformatik, Paderborn, Germany, 18-21 September 2023
Issue Date:	10-Sep-2023
Publisher / Ed. Institution:	Association for Information Systems
Language:	English
Subjects:	Data sharing; Data collaboration; DSR; Canvas
Subject (DDC):	005: Computer programming, programs and data 650: Management
Abstract:	For 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.
Further description:	Part of Track 5: Data Science & Business Analytics
URI:	https://aisel.aisnet.org/wi2023/1/ https://digitalcollection.zhaw.ch/handle/11475/30155
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Management and Law
Organisational Unit:	Institute of Business Information Technology (IWI)
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/.