Big Data enabled organizational transformation: The effect of inertia in adoption and diffusion

Patrick Mikalef, Rogier van de Wetering, John Krogstie

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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.

Original languageEnglish
Title of host publicationBusiness Information Systems
EditorsWitold Abramowicz, Adrian Paschke
Number of pages13
ISBN (Electronic)978-3-319-93931-5
ISBN (Print)978-3-319-93930-8
Publication statusPublished - 2018
Event21st International Conference, Business Information Systems: BIS 2018 - Berlin, Germany
Duration: 18 Jul 201820 Jul 2018

Publication series

SeriesLecture Notes in Business Information Processing


Conference21st International Conference, Business Information Systems
Internet address


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