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




Heikkilä Marikka, Ahmad Farhan, Heikkilä Jukka

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

Bled eConference

Maribor

2023

Bled eConference

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

85

106

978-961-286-751-5

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

https://research.utu.fi/converis/portal/detail/Publication/179970914



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.


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