IIoT platforms’ architectural features – a taxonomy and five prevalent archetypes

Laurin Arnold (), Jan Jöhnk (), Florian Vogt () and Nils Urbach ()
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Laurin Arnold: University of Bayreuth, Project Group Business & Information Systems Engineering of the Fraunhofer FIT
Jan Jöhnk: University of Bayreuth
Florian Vogt: it-economics GmbH
Nils Urbach: Frankfurt University of Applied Sciences, Project Group Business & Information Systems Engineering of the Fraunhofer FIT

Electronic Markets, 2022, vol. 32, issue 2, No 29, 927-944

Abstract: Abstract In the industrial Internet of Things (IIoT), digital platforms have recently received significant attention. Although IIoT platforms revolve around similar business objectives, they address various use cases and, thus, differ considerably in their architectural setup. While research has already investigated IIoT platforms from a business or design perspective, little is known about their underlying technology stack and its implications. To unveil different IIoT platform configurations and better understand their architectural design, we systematically develop and validate a taxonomy of IIoT platforms’ architectural features based on related literature, real-world cases, and expert interviews. On this foundation, we identify and discuss five IIoT platform archetypes (Allrounder, Device Controller, Data Hub, Service Enabler, Connector). Our findings contribute to the descriptive knowledge in this ambiguous research field while also elucidating the interplay of IIoT platforms’ architectural setup and their purpose. From a managerial viewpoint, our results may guide practitioners in comparing and selecting a suitable IIoT platform.

Keywords: Industrial IoT; IIoT Platforms; Architecture; Archetypes; Taxonomy (search for similar items in EconPapers)
JEL-codes: D4 L2 O3 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s12525-021-00520-0

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