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Demystifying Industrial Internet of Things Start-Ups : A Multi-Layer Taxonomy

Title data

Jonas, Claudius ; Oberländer, Anna Maria ; Schmitt, Kevin ; Wethmar, Simon:
Demystifying Industrial Internet of Things Start-Ups : A Multi-Layer Taxonomy.
In: Wirtschaftsinformatik 2022 Proceedings. - s.l. : AIS eLibrary , 2022

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI IoTNo information

Abstract in another language

Described as a fundamental paradigm shift by researchers, the Industrial Internet of Things (IIoT) is credited with massive potential. In the context of emerging technologies, such as the IIoT, start-ups occupy a crucial role, as new technologies are often first commercialized by start-ups. Because of the rising importance of IIoT start-ups as drivers of industrial innovation, IIoT solutions demand deepened theoretical insights. As existing classification schemes in the industrial context do not sufficiently account for the ever more critical role of IIoT start-ups, we present a multi-layer taxonomy of IIoT start-up solutions. Building on state-of-the-art literature and a sample of 78 real-world IIoT start-up solutions, the taxonomy comprises ten dimensions and related characteristics structured along the three layers solution, data, and business model. The taxonomy contributes to the descriptive knowledge on the IIoT and enables researchers and practitioners to better understand IIoT start-up solutions.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Industrial Internet of Things; Start-up; Solutions; Taxonomy
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: 21 Dec 2021 10:16
Last Modified: 01 Apr 2022 09:18
URI: https://eref.uni-bayreuth.de/id/eprint/68207