A Taxonomy of Industrial IoT Platforms’ Architectural Features

Laurin Arnold (), Jan Jöhnk (), Florian Vogt () and Nils Urbach ()
Additional contact information
Laurin Arnold: University of Bayreuth
Jan Jöhnk: University of Bayreuth
Florian Vogt: University of Bayreuth
Nils Urbach: University of Bayreuth

A chapter in Innovation Through Information Systems, 2021, pp 404-421 from Springer

Abstract: Abstract In the industrial Internet of Things (IIoT), the concept of digital platforms has received significant attention. Although IIoT platforms revolve around similar business objectives, they address a variety of 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 four IIoT platform archetypes. 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 Internet of Things; IIoT Platforms; Architecture; Taxonomy; Archetypes (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-86800-0_28

Ordering information: This item can be ordered from
http://www.springer.com/9783030868000

DOI: 10.1007/978-3-030-86800-0_28

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().