A4 Refereed article in a conference publication

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




AuthorsHeikkilä Marikka, Ahmad Farhan, Heikkilä Jukka

EditorsAndreja Pucihar; Mirjana Kljajić Borštnar; Roger Bons; Guido Ongena; Marikka Heikkilä; Doroteja Vidmar

Conference nameBled eConference

Publishing placeMaribor

Publication year2023

JournalBled eConference

Book title 36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability

First page 85

Last page106

ISBN978-961-286-751-5

Web address https://press.um.si/index.php/ump/catalog/book/786

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/179970914


Abstract

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.


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Last updated on 2024-26-11 at 19:58