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Big Data Analytics as an Enabler of Process Innovation Capabilities: A Configurational Approach

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Book cover Business Process Management (BPM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11080))

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Abstract

A central question for information systems (IS) researchers and practitioners is if, and how, big data can help attain a competitive advantage. Anecdotal claims suggest that big data can enhance a firm’s incremental and radical process innovation capabilities; yet, there is a lack of theoretically grounded empirical research to support such assertions. To address this question, this study builds on the Resource-Based View and examines the fit between big data analytics resources and organizational contextual factors in driving a firm’s process innovation capabilities. Survey data from 202 chief information officers and IT managers working in Norwegian firms is analyzed by means of fuzzy set qualitative comparative analysis (fsQCA). Results demonstrate that under different patterns of contextual factors the significance of big data analytics resources varies, with specific combinations leading to high levels of incremental and radical process innovation capabilities. These findings suggest that IS researchers and practitioners should look beyond direct effects, and rather, identify key combinations of factors that lead to enhanced process innovation capabilities.

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Acknowledgements

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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Authors and Affiliations

  1. Norwegian University of Science and Technology, Sem Saelandsvei 9, 7491, Trondheim, Norway

    Patrick Mikalef & John Krogstie

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  1. Patrick Mikalef
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  2. John Krogstie
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Correspondence to Patrick Mikalef .

Editor information

Editors and Affiliations

  1. Hasso-Plattner-Institute, University of Potsdam, Potsdam, Germany

    Mathias Weske

  2. Free University of Bozen Bolzano, Bolzano, Italy

    Marco Montali

  3. Data61, CSIRO, Eveleigh, NSW, Australia

    Ingo Weber

  4. University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

Appendix A. Survey Instrument

Appendix A. Survey Instrument

The survey instrument can be found here: https://goo.gl/4y4QVr.

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Mikalef, P., Krogstie, J. (2018). Big Data Analytics as an Enabler of Process Innovation Capabilities: A Configurational Approach. In: Weske, M., Montali, M., Weber, I., vom Brocke, J. (eds) Business Process Management. BPM 2018. Lecture Notes in Computer Science(), vol 11080. Springer, Cham. https://doi.org/10.1007/978-3-319-98648-7_25

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  • DOI: https://doi.org/10.1007/978-3-319-98648-7_25

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