From Big Data Analytics to Dynamic Capabilities: The Effect of Organizational Inertia

Patrick Mikalef, R. van de Wetering, John Krogstie

Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review

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While big data analytics have been credited with being a revolution that will transform the way firms do business, there is still limited knowledge on how they should adopt and diffuse these technologies to support their strategies. The purpose of this paper is to understand how different inertial forces related to deployments of big data analytics inhibit the formation of dynamic capabilities and subsequently performance. We draw on a multiple case study approach of 27 firms to examine the different forms of inertia that characterize big data analytics implementation. This study provides empirical evidence that contributes to the scarce research on deployment of big data analytics to enable dynamic capabilities. Disaggregating dynamic capabilities into the sensing, seizing, and transforming, we find that different forms of inertia including economic, political, socio-cognitive, negative psychology, and socio-technical affect the formation of each type of underlying capability.
Original languageEnglish
Title of host publicationPacific Asia Conference on Information Systems 2019 proceedings
EditorsDongming Xu, James Jiang, Hee-Woong Kim
Place of PublicationXi'an
PublisherAIS Electronic Library
Number of pages14
Publication statusPublished - 2019
EventPacific Asia Conference on Information Systems - Xi'an, China
Duration: 8 Jul 201912 Jul 2019


ConferencePacific Asia Conference on Information Systems
Abbreviated titlePACIS 2019
Internet address


  • Big data analytics
  • organizational transformation
  • inertia
  • deployment
  • IT-enabled transformation


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