Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies

Christian Arnold and Kai-Ingo Voigt ()
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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

International Journal of Innovation and Technology Management (IJITM), 2019, vol. 16, issue 06, 1-21

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.

Keywords: Industrial Internet of Things; Industrie 4.0; Industry 4.0; German manufacturing companies; technology adoption; quantitative research (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)

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DOI: 10.1142/S021987701950038X

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