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Big Data is Power: Business Value from a Process Oriented Analytics Capability

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Business Information Systems Workshops (BIS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 339))

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Abstract

Big data analytics (BDA) has the potential to provide firms with competitive benefits. Despite its massive potential, the conditions and required complementary resources and capabilities through which firms can gain business value, are by no means clear. Firms cannot ignore the influx of data, mostly unstructured, and will need to invest in BDA increasingly. By doing so, they will have to, e.g., necessitate new specialist competencies, privacy, and regulatory issues as well as other structural and cost considerations. Past research contributions argued for the development of idiosyncratic and difficult to imitate firm capabilities. This study builds upon resources synchronization theories and examines the process to obtain business value from BDA. In this study, we use data from 27 cases studies from different types of industries. Through the coding analyses of interview transcripts, we identify the contingent resources that drive, moderate and condition the value of a BDA capability throughout different phases of adoption. Our results contribute to a better understanding of the importance of BDA resources and the process and working mechanisms through which to leverage them toward business value. We conclude that our synthesized configurational model for BDA capabilities is a useful basis for future research.

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Notes

  1. 1.

    As no single person has all the required skills for BDA success, typical assessments should cover skill sets across teams, departments in order to identify possible skill gaps and development needs.

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Acknowledgments

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.

Author information

Authors and Affiliations

  1. Faculty of Management, Science and Technology, Open University of the Netherlands, Valkenburgerweg 177, 6419 AT, Heerlen, The Netherlands

    Rogier van de Wetering

  2. Department of Computer Science, Norwegian University of Science and Technology, Sem Saelandsvei 9, 7491, Trondheim, Norway

    Patrick Mikalef & John Krogstie

Authors
  1. Rogier van de Wetering
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  2. Patrick Mikalef
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  3. John Krogstie
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Correspondence to Rogier van de Wetering .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  2. Fraunhofer FOKUS, Berlin, Berlin, Germany

    Adrian Paschke

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van de Wetering, R., Mikalef, P., Krogstie, J. (2019). Big Data is Power: Business Value from a Process Oriented Analytics Capability. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems Workshops. BIS 2018. Lecture Notes in Business Information Processing, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-04849-5_41

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  • DOI: https://doi.org/10.1007/978-3-030-04849-5_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04848-8

  • Online ISBN: 978-3-030-04849-5

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