CoChat
Sign Up
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

Open access
Mikalef, Patrick, Boura, Maria, Lekakos, George, Krogstie, John·2019·British Journal of Management
DOI 10.1111/1467-8551.12343
Open this paper in CoChat — free account

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.

Overview

Integrity signals

Registry

Crossref · 10.1111/1467-8551.12343

Cites

127 of 127 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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

Cited by

Sorted by citations

Items 601–700 of 833

Related

See all

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review