Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment
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Abstract With big data analytics growing rapidly in popularity, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive strategies. Drawing on the resource‐based view, the dynamic capabilities view, and on recent literature on big data analytics, this study examines the indirect relationship between a big data analytics capability (BDAC) and two types of innovation capabilities: incremental and radical. The study extends existing research by proposing that BDACs enable firms to generate insight that can help strengthen their dynamic capabilities, which in turn positively impact incremental and radical innovation capabilities. To test their proposed research model, the authors used survey data from 175 chief information officers and IT managers working in Greek firms. By means of partial least squares structural equation modelling, the results confirm the authors’ assumptions regarding the indirect effect that BDACs have on innovation capabilities. Specifically, they find that dynamic capabilities fully mediate the effect on both incremental and radical innovation capabilities. In addition, under conditions of high environmental heterogeneity, the impact of BDACs on dynamic capabilities and, in sequence, incremental innovation capability is enhanced, while under conditions of high environmental dynamism the effect of dynamic capabilities on incremental innovation capabilities is amplified.
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Digital strategy can drive digital transformation by improving decision-making processes.
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From Mastering digital transformation: The nexus between leadership, agility, and digital strategy (2022) · cites this paper as Mikalef et al., 2019
Operations-line managers might be highly interested and motivated to invest and build BDA capability.
“While operations-line managers might be highly interested and motivated to invest and build BDA capability ( Akter et al., 2016 ;Mikalef et al., 2019 )”
From Applications of big data in emerging management disciplines: A literature review using text mining (2021) · cites this paper as Mikalef et al., 2019
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- Authors
- Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J.
- Affiliations
- Norwegian University of Science and Technology (NO)
- Athens University of Economics and Business (GR)
- Corresponding author
- Mikalef, Patrick
- Venue
- British Journal of Management
- Publisher
- Wiley
- Published
- 2019-04
- Volume
- 30
- Issue
- 2
- Pages
- 272-298
- ISSN
- 1045-3172 (ISSN-L)
- 1467-8551
- OpenAlex
- W2944471258
- Cited by
- 835
- References
- 128
- Citations by year
- 2026: 130 · 2025: 154 · 2024: 157 · 2023: 156 · 2022: 106 · 2021: 83 · 2020: 33 · 2019: 16
- FWCI
- 79.22
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- British Journal of Management (publishedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Funders
- European Union's Horizon 2020
- Marie Sklodowska-Curie (No 704110)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- big data analytics capability, dynamic capabilities, incremental innovation, radical innovation, innovation ability, environmental heterogeneity, environmental dynamism, mediating effect, moderating effect, resource-based view, competitive strategy, chief information officer
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