IIP-Ecosphere
IIP-Ecosphere - Next Level Ecosphere for Intelligent Industrial Production
In IIP-Ecosphere, we develop an ecosystem to reduce obstacles in the implementation of Artificial Intelligence (AI) applications in production and its related processes with the aim to foster intelligent production systems. A framework will be established for
- the unconstrained introduction of AI applications in SMEs
- new, AI-driven services and data exchange
- true AI-driven process chains
- cooperation of diverse stakeholders
- increased compatibility of systems
The “Chair of Information Systems, Innovation and Value Creation” primarily leverages its expertise in the areas of innovation, stakeholder integration, service systems engineering and business model design to support this undertaking. During the project, researcher of the chair are mainly responsible for the development of business models accompanying AI utilization and support in innovation.
Further Information
Related Publications
- Jalowski M., Schymanietz M., Möslein K.:
Supporting Participants in Creative Processes: Opportunities for Persuasive Technology in Participatory Design
International Conference on Information Systems (Hyderabad, 13. December 2020 - 16. December 2020)
In: Proceedings of the Forty-First International Conference on Information Systems 2020 - Wilga M., Jalowski M., Kirschbaum J., Roth A.:
A Systematic Characterization of Artificial Intelligence Business Models as a Fundament for Business Model Innovation and Strategic Decision-Making
21st European Academy of Management (EURAM) Conference 2021 (Montreal/virtual, 16. June 2021 - 18. June 2021) - Jalowski M., Roth A., Oks SJ., Wilga M.:
Innovation KI-basierter Dienstleistungen für die industrielle Wertschöpfung – Ein artefaktzentrierter Ansatz
In: Manfred Bruhn, Karsten Hadwich (ed.): Künstliche Intelligenz im Dienstleistungsmanagement, Wiesbaden: Springer Gabler, 2021, p. 165-190 (Forum Dienstleistungsmanagement, Vol.1)
ISBN: 9783658343231
DOI: 10.1007/978-3-658-34324-8_7
URL: https://link.springer.com/chapter/10.1007/978-3-658-34324-8_7 - Roth A., Oks SJ.:
Künstliche Intelligenz als Treiber für Dienstleistungsinnovation
In: Manfred Bruhn, Karsten Hadwich (ed.): Automatisierung und Personalisierung von Dienstleistungen, Wiesbaden: Springer Gabler, 2020, p. 157-181 (Forum Dienstleistungsmanagement, Vol.2)
ISBN: 978-3-658-30167-5
DOI: 10.1007/978-3-658-30168-2_6
URL: https://link.springer.com/chapter/10.1007/978-3-658-30168-2_6 - Jalowski M., Oks SJ., Möslein K.:
Fostering knowledge sharing: Design principles for persuasive digital technologies in open innovation projects
In: Creativity and Innovation Management 32 (2023), p. 233-248
ISSN: 0963-1690
DOI: 10.1111/caim.12520
URL: https://onlinelibrary.wiley.com/doi/10.1111/caim.12520