A4 Refereed article in a conference publication

European Companies' Readiness and Challenges in Data Economy




AuthorsHeikkilä, Marikka; Heikkilä, Jukka; Ahmad, Farhan

EditorsAndreja Pucihar; Mirjana Kljajić Borštnar; Staša Blatnik; Roger W. H. Bons; Koen Smit; Marikka Heikkilä

Conference nameBled eConference

Publication year2024

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 page654

eISBN978-961-286-871-0

DOIhttps://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 addresshttps://research.utu.fi/converis/portal/detail/Publication/457040895


Abstract

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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Last updated on 2025-27-01 at 19:49