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Barriers to Data Sharing among Private Sector Organizations

Fassnacht, Marcel Kyron ORCID iD icon 1,2,3; Benz, Carina 1,2,3; Heinz, Daniel ORCID iD icon 1,2,3; Leimstoll, Jannis 1; Satzger, Gerhard 1,2,3
1 Fakultät für Wirtschaftswissenschaften (WIWI), Karlsruher Institut für Technologie (KIT)
2 Karlsruhe Service Research Institute (KSRI), Karlsruher Institut für Technologie (KIT)
3 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)

Abstract:

In today’s digital world, sharing data among private sector organizations to realm mutual benefits, such as innovation and value co-creation, is considered a promising yet barely explored and realized approach. Although private sector organizations are pursuing data sharing, successful real-world examples are sparse due to a multitude of barriers. However, knowledge on barriers to data sharing among private sector organizations is scarcely existent in scientific literature. Therefore, we apply an exploratory research approach by triangulating insights from fourteen expert interviews and a systematic literature review to identify barriers which we group along five distinct perspectives. By exploring the multi-faceted barriers to data sharing among private sector organizations, our work contributes to a better understanding of data sharing in this field and lays the foundation for future studies. For practitioners, we identify key challenges to successful data sharing among private sector organizations and, hence call for additional endeavors in data sharing.


Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 01.2023
Sprache Englisch
Identifikator ISBN: 9780998133164
ISSN: 1530-1605
KITopen-ID: 1000150870
Erschienen in Hawaii International Conference on Systems Sciences (HICSS-56)
Veranstaltung 56th Hawaii International Conference on System Sciences (HICSS 2023), Maui, Hawaii, 03.01.2023 – 06.01.2023
Verlag IEEE Computer Society
Seiten 3695-3704
Serie Proceedings of the Annual Hawaii International Conference on System Sciences
Bemerkung zur Veröffentlichung in press
Schlagwörter Data Sharing, Barriers, Private Sector, Expert Interviews, Systematic Literature Review
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