Unlocking the potential of data-driven business models: an empirical investigation into the role of ecosystems and fair data use

dc.contributor.authorHeikkilä Marikka
dc.contributor.authorAhmad Farhan
dc.contributor.authorHeikkilä Jukka
dc.contributor.organizationfi=Centre for Collaborative Research (CCR)|en=Centre for Collaborative Research (CCR)|
dc.contributor.organizationfi=tietojärjestelmätiede|en=Information Systems Science|
dc.contributor.organization-code1.2.246.10.2458963.20.70128852004
dc.contributor.organization-code1.2.246.10.2458963.20.87107995810
dc.converis.publication-id179970914
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/179970914
dc.date.accessioned2025-08-27T21:55:02Z
dc.date.available2025-08-27T21:55:02Z
dc.description.abstract<p>Data-driven business models are expected to stimulate new economic growth by promoting innovation and value creation through data. However, in addition to concerns about privacy and security, there are ongoing discussions about fair data usage at both the EU and global levels. This research analyses how business model change is influenced by the expected economic benefits as well as how involvement in data ecosystems and the adoption of fair data practices can encourage data-driven innovation. We develop and test a structural equation model with a sample of 1,200 European companies. The findings suggest that organizations recognize the potential for new business and innovation opportunities with data-driven business models. Nevertheless, it is essential to engage in data ecosystems and implement fair and sustainable data usage practices in order to realize these benefits.<br></p>
dc.format.pagerange106
dc.format.pagerange85
dc.identifier.isbn978-961-286-751-5
dc.identifier.olddbid201401
dc.identifier.oldhandle10024/184428
dc.identifier.urihttps://www.utupub.fi/handle/11111/48198
dc.identifier.urlhttps://press.um.si/index.php/ump/catalog/book/786
dc.identifier.urnURN:NBN:fi-fe2025082785365
dc.language.isoen
dc.okm.affiliatedauthorHeikkilä, Marikka
dc.okm.affiliatedauthorAhmad, Farhan
dc.okm.affiliatedauthorHeikkilä, Jukka
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline512 Business and managementen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline512 Liiketaloustiedefi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countrySloveniaen_GB
dc.publisher.countrySloveniafi_FI
dc.publisher.country-codeSI
dc.publisher.placeMaribor
dc.relation.conferenceBled eConference
dc.relation.ispartofjournalBled eConference
dc.source.identifierhttps://www.utupub.fi/handle/10024/184428
dc.titleUnlocking the potential of data-driven business models: an empirical investigation into the role of ecosystems and fair data use
dc.title.book36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability
dc.year.issued2023

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