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IIoT platforms' architectural features : a taxonomy and five prevalent archetypes

Title data

Arnold, Laurin ; Jöhnk, Jan ; Vogt, Florian ; Urbach, Nils:
IIoT platforms' architectural features : a taxonomy and five prevalent archetypes.
In: Electronic Markets. Vol. 32 (2022) . - pp. 927-944.
ISSN 1422-8890
DOI: https://doi.org/10.1007/s12525-021-00520-0

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI IoTNo information
Projektgruppe WI Strategisches IT-ManagementNo information

Abstract in another language

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. 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 journal
Refereed: Yes
Keywords: Industrial IoT; IIoT Platforms; Architecture; Archetypes; Taxonomy; Cluster Analysis
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
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: 23 Mar 2022 10:35
Last Modified: 13 Sep 2022 05:43
URI: https://eref.uni-bayreuth.de/id/eprint/68988