Item Type | Conference or Workshop Item (Paper) |
Abstract | Setting up Internet of Things (IoT) business models is a challenging tasks which leads to dramatic numbers of failures. To support both corporates and startups, business accelerators gain increasing popularity. However, most of such efforts have several restrictions such as limited capabilities, networks or expertise. To overcome these deficiencies we propose the Hybrid Intelligence Accelerator as a novel service system to support the design process of IoT business models through connecting multiple actors via an online platform and combining the idiosyncratic benefits of collective and artificial intelligence. In the context of a design science research approach we developed an initial prototype version of the Hybrid Intelligence Accelerator and provide insights in the procedures as well as tentative design principles. |
Authors | Dellermann, Dominik; Lipusch, Nikolaus; Ebel, Philipp & Leimeister, Jan Marco |
Editors | Buxmann, Peter; Curan, Aidan Thomas; Eichler, Gerald; Jansen, Slinger; Kude, Thomas & Popp, Karl Michael |
Research Team | IWI 6 |
Language | English |
Keywords | Internet of Things, Business Model, Accelerator, Entrepreneurship, Hybrid Intelligence |
Subjects | business studies information management other research area |
HSG Classification | contribution to practical use / society |
Date | 2017 |
Publisher | Books on Demand |
Event Title | Proceedings of the European Workshop on Software Ecosystems 2017 |
Event Location | Darmstadt, Germany |
Event Dates | 23.11.2017 |
Depositing User | Dr. Mahei Li |
Date Deposited | 24 Oct 2017 14:39 |
Last Modified | 20 Jul 2022 17:32 |
URI: | https://www.alexandria.unisg.ch/publications/252345 |
DownloadFull text not available from this repository.CitationDellermann, Dominik; Lipusch, Nikolaus; Ebel, Philipp & Leimeister, Jan Marco: Building Your IoT Ecosystem: Proposing the Hybrid Intelligence Accelerator. 2017. - Proceedings of the European Workshop on Software Ecosystems 2017. - Darmstadt, Germany. Statisticshttps://www.alexandria.unisg.ch/id/eprint/252345
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