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Cited by 835Big Data and Business IntelligenceInnovation and Knowledge ManagementBig Data Technologies and Applications

The DOI matches its Crossref record; 127 of the 128 references it cites were found in a registry or an index.

Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment

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Mikalef, Patrick, Boura, Maria, Lekakos, George, Krogstie, John·2019·British Journal of Management
DOI 10.1111/1467-8551.12343
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Abstract

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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Citations

Cites

Show all 128 references

Research works printed but not linked: 8

  1. Antonakis J., 2014, Causality and endogeneity: problems and solutions, Oxford Handbook of Leadership and Organizations, 1, 93
  2. Aspect(2013). ‘Southwest Airlines heads to the cloud with Aspect software to provide best‐in‐class customer experience [Press release]’. Available athttp://www.aspect.com/company/news/press-releases/southwest-airlines-heads-to-the-cloud-with-aspect-software-to-provide-best-in-class-customer-experience[accessed 15 June 2018].
  3. Brinkhues R., 2014, Proceedings of the 20th Americas Conference on Information Systems (AMCIS)
  4. Davenport T. H., 2012, Data scientist: the sexiest job of the 21st century, Harvard Business Review, 90, 70
  5. Kiron D., 2017, Lessons from becoming a data‐driven organization, MIT Sloan Management Review, 58, 1
  6. Nunnally J., 1978, Psychometric Methods
  7. Ransbotham S., 2017, Analytics as a source of business innovation, MIT Sloan Management Review, 58, 1
  8. Ross J. W., 2013, You may not need big data after all, Harvard Business Review, 91, 90

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Metadata

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
ORCID
Venue
British Journal of Management
Publisher
Wiley
Published
2019-04
Volume
30
Issue
2
Pages
272-298
ISSN
  • 1045-3172 (ISSN-L)
  • 1467-8551
DOI
10.1111/1467-8551.12343
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
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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