Title data
Arnold, Laurin ; Jöhnk, Jan ; Vogt, Florian ; Urbach, Nils:
A Taxonomy of Industrial IoT Platforms' Architectural Features.
In:
Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI). -
Duisburg, Germany
,
2021
Project information
Project title: |
Project's official title Project's id Projektgruppe WI IoT No information Projektgruppe WI Strategisches IT-Management No information |
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Abstract in another language
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 governance 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 objects, 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.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Keywords: | Industrial Internet of Things; IIoT Platforms; Architecture; Taxonomy; Archetypes |
Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management Faculties Faculties > Faculty of Law, Business and Economics |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
Date Deposited: | 08 Jan 2021 10:45 |
Last Modified: | 04 Aug 2022 07:24 |
URI: | https://eref.uni-bayreuth.de/id/eprint/61481 |