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Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies

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  • Christian Arnold

    (School of Business and Economics, Friedrich-Alexander-Universität, Erlangen-Nürnberg, Lange Gasse 20, 90403 Nuremberg, Germany)

  • Kai-Ingo Voigt

    (School of Business and Economics, Friedrich-Alexander-Universität, Erlangen-Nürnberg, Lange Gasse 20, 90403 Nuremberg, Germany)

Abstract

This study aims at examining factors that determine the adoption of the Industrial Internet of Things (IIoT) by manufacturing companies applying the technology–organization–environment framework. Data of 197 German manufacturers are gathered by means of a survey questionnaire and tested using a logistic regression. This paper contributes to academic discussion by revealing determinants, which have a significant influence on the adoption of the IIoT: relative advantage associated with the IIoT, support by a company’s top management, high levels of competition, and environmental uncertainty. The study provides important implications, both for research and practitioners, related to technology management in the context of the IIoT.

Suggested Citation

  • Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
  • Handle: RePEc:wsi:ijitmx:v:16:y:2019:i:06:n:s021987701950038x
    DOI: 10.1142/S021987701950038X
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    Cited by:

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    4. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.

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