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Effects of Big Data Analytics on Firm Innovativeness: The Role of a Data-Driven Culture
Business School, LUT University, Lahti, Finland.
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering. Business School, LUT University, Lappeenranta, Finland.ORCID iD: 0000-0002-8525-4610
Business School, LUT University, Lappeenranta, Finland.
Business School, LUT University, Lahti, Finland.
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2025 (English)In: Knowledge and Process Management, ISSN 1092-4604, E-ISSN 1099-1441Article in journal (Refereed) Epub ahead of print
Abstract [en]

How can companies reap innovation benefits from big data? To shed more light on this question, this study investigates empirically the relationship between big data variety, adoption of big data analytics technologies, and firm innovativeness. The paper hypothesizes that firms need a suitable organizational cultural orientation to reap the benefits of big data variety and related analytics technologies. Therefore, a firm's data-driven culture is hypothesized as a moderating variable between big data variety, adoption of big data analytics technologies, and firm innovativeness. Based on a multi-industry survey, the results show that the adoption of big data analytics technologies directly influences firm innovativeness, whereas the relationship between big data variety and firm innovativeness is positively moderated by the firm's data-driven culture. Furthermore, a data-driven culture is positively associated with firm innovativeness.

Place, publisher, year, edition, pages
John Wiley and Sons Ltd , 2025.
Keywords [en]
big data, big data analytics, data-driven culture, firm innovativeness, resource-based view, survey
National Category
Business Administration
Research subject
Entrepreneurship and Innovation
Identifiers
URN: urn:nbn:se:ltu:diva-113941DOI: 10.1002/kpm.70000Scopus ID: 2-s2.0-105008532622OAI: oai:DiVA.org:ltu-113941DiVA, id: diva2:1979310
Note

Full text license: CC BY 4.0;

Funder: Foundation for Economic Education (8-4054);

Available from: 2025-06-30 Created: 2025-06-30 Last updated: 2025-06-30

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Ritala, Paavo

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