Big Data Enabled Organizational Transformation: The Effect of Inertia in Adoption and Diffusion

  • Patrick MikalefEmail author
  • Rogier van de Wetering
  • John Krogstie
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 320)


Big data and analytics have been credited with being a revolution that will radically transform the way firms operate and conduct business. Nevertheless, the process of adopting and diffusing big data analytics, as well as actions taken in response to generated insight, necessitate organizational transformation. Nevertheless, as with any form of organizational transformation, there are multiple inhibiting factors that threaten successful change. The purpose of this study is to examine the inertial forces that can hamper the value of big data analytics throughout this process. We draw on a multiple case study approach of 27 firms to examine this question. Our findings suggest that inertia is present in different forms, including economic, political, socio-cognitive, negative psychology, and socio-technical. The ways in which firms attempt to mitigate these forces of inertia is elaborated on, and best practices are presented. We conclude the paper by discussing the implications that these findings have for both research and practice.


Big data analytics Organizational transformation Inertia Deployment IT-enabled transformation 



Open image in new window This project has received funding from the European Union’s Horizon 2020 research and innovation programme, under the Marie Sklodowska-Curie grant agreement No. 704110.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Patrick Mikalef
    • 1
    Email author
  • Rogier van de Wetering
    • 2
  • John Krogstie
    • 1
  1. 1.Department of Computer ScienceNorwegian University of Science and TechnologyTrondheimNorway
  2. 2.Faculty of Management Science and TechnologyOpen University of the NetherlandsHeerlenThe Netherlands

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