A4 Refereed article in a conference publication
European Companies' Readiness and Challenges in Data Economy
Authors: Heikkilä, Marikka; Heikkilä, Jukka; Ahmad, Farhan
Editors: Andreja Pucihar; Mirjana Kljajić Borštnar; Staša Blatnik; Roger W. H. Bons; Koen Smit; Marikka Heikkilä
Conference name: Bled eConference
Publication year: 2024
Book title : 37th Bled eConference – Resilience Through Digital Innovation: Enabling the Twin Transition: June 9 – 12, 2024, Bled, Slovenia, Conference Proceedings
First page : 635
Last page: 654
eISBN: 978-961-286-871-0
DOI: https://doi.org/10.18690/um.fov.4.2024.37
Web address : https://doi.org/10.18690/um.fov.4.2024
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/457040895
This study investigates the readiness and challenges European companies face in embracing a data-driven economy. By conducting a comprehensive survey of 1,200 European companies spanning various industries and sizes, we reveal a mixed outlook on the data economy's potential to offer a competitive advantage. We find that 20% have already leveraged data to gain competitive advantage, a majority see potential benefits, while 19% perceive no advantage. Importantly, our findings highlight the need for substantial business model transformations to capitalize on data-driven opportunities. The paper also identifies the obstacles faced by companies in adopting a data-driven approach, including legal complexity, lack of data, competence in data-driven business models and technological competence. Challenges are most pronounced among micro-sized businesses and sectors like arts, entertainment, leisure, and international NGOs. Overall, the research suggests that if the company has the skills, a data economy has the potential to drive innovation and growth. By identifying the disparities in readiness and perception across different sectors and company sizes, this study contributes to a more informed discourse on fostering a conducive environment for all companies to thrive in the data-driven economy.
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