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The Energy Industry in the Czech Republic: On the Way to the Internet of Things

Author

Listed:
  • Milos Maryska

    (Department of Information Technologies, University of Economics, Prague 130 00, Czech Republic)

  • Petr Doucek

    (Department of System Analysis, University of Economics, Prague 130 00, Czech Republic)

  • Lea Nedomova

    (Department of System Analysis, University of Economics, Prague 130 00, Czech Republic)

  • Pavel Sladek

    (Department of Information Technologies, University of Economics, Prague 130 00, Czech Republic)

Abstract

This article describes and discusses research into the perspectives for deploying the IoT (Internet of Things) within the Czech energy industry. Our conclusions are based on empirical research performed among 50 energy-industry experts in 2016 and 2017. This was two-stage research in which we held interviews with these experts in order to select the set of the most acceptable IoT technologies for deployment in the energy industry, and then used the TOPSIS method to select the most suitable technologies among them for deployment in the Czech environment. For use in determining the most suitable technologies, we also defined—with the help of the mentioned experts—individual selection parameters and weightings for them, enabling us to apply the TOPSIS method to the selected set of technologies. Our result was the selection of the SIGFOX IoT technology.

Suggested Citation

  • Milos Maryska & Petr Doucek & Lea Nedomova & Pavel Sladek, 2018. "The Energy Industry in the Czech Republic: On the Way to the Internet of Things," Economies, MDPI, vol. 6(2), pages 1-13, June.
    • Handle: RePEc:gam:jecomi:v:6:y:2018:i:2:p:36-:d:151814
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    References listed on IDEAS

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    1. Łatuszyńska Anna, 2014. "Multiple-Criteria Decision Analysis Using Topsis Method For Interval Data In Research Into The Level Of Information Society Development," Folia Oeconomica Stetinensia, Sciendo, vol. 13(2), pages 63-76, July.
    2. Gerald W. Evans, 1984. "An Overview of Techniques for Solving Multiobjective Mathematical Programs," Management Science, INFORMS, vol. 30(11), pages 1268-1282, November.
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    Cited by:

    1. Milos Maryska & Petr Doucek & Pavel Sladek & Lea Nedomova, 2019. "Economic Efficiency of the Internet of Things Solution in the Energy Industry: A Very High Voltage Frosting Case Study," Energies, MDPI, vol. 12(4), pages 1-16, February.

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