Featured: Digital Innovation
The research stream “Digital Innovation” at Wi1 looks in depth at the way digitization allows for, drives or hinders innovation. We are especially interested in intangible innovations, like the innovation of services, systems or social settings and the practices, processes and platforms that enable new forms of value creation in these contexts. Typical questions we try to answer are:
- How will big-data drive new digital service business-models?
- How can toolkits support new forms of co-creation and personalization?
- What kinds of tools and platforms are needed to support innovators in the digital age?
We, thus, strive to provide the knowledge and tools needed for leading innovation and transformation.
'Innovation Leadership & Business Management Executive Education' (EIT Health 2016Camp224) is a project with partners from six European countries focused on fostering excellence and innovation in health care and business management executive education. The project is funded within the Campus program of EIT Health.
VeSiKi ist das wissenschaftliche Begleitforschungsprojekt zu dem Forschungsprogramm IT-Sicherheit Kritischer Infrastrukturen. Es beschäftigt sich mit neuen, übergreifenden Ansätzen zur Beurteilung der IT-Sicherheit Kritischer Infrastrukturen, erarbeitet Verbesserungsvorschläge für bestehende technische sowie etablierte Prozesse, begleitet die Verbundprojekte und koordiniert die Zusammenarbeit.
Weite Bereiche des gesellschaftlichen und wirtschaftlichen Lebens hängen von s…
The project S-CPS aims to identify and analyze productivity relevant
factors for service operations to allow effective and efficient
maintenance, by respecting local and technical conditions. Therefore a
resource cockpit is developed, which brings together data streams of
several heterogeneous production resources relevant for the mobile
workforce to provide remote support for service operations. The resource
cockpit will increase the maintenance and repair efficiency in
manufacturing. The research focus is to shed light on the collaboration
of cyber-physical systems and people. The project is part of the overall
initiative “Industry 4.0”.
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 main objective of the project “Digitization of the central transfer procedure for temporary employment” is the evaluation of a software that enables the digital admission process of temporary contract workers. Within this project the functionality of the interfaces, in particular with regard to the impact of digitization on safety and health at work, economic efficiency, the time required and the transparency of the provided software solution are being evaluated. The research project focuses on how the new software influences different work practices in a day to day environment. It distinguishes between the tasks of the company that receives the temporary contractors and the agency that provides the contractors.
Simplifying Solution Space: A Multiple Case study on 3D Printing Toolkits (accepted for publication)
ECIS - European Conference on Information Systems (Istanbul, 12. June 2016 - 15. June 2016)
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Learning to speak “digital” – how industry applies cyber-physical design concepts in new systems implementations
Information Systems Foundations Workshop: Theorising Digital Innovation (Canberra, 15. September 2016 - 15. September 2016)
Towards the Design of a Persuasive Technology for Encouraging Collaborative Prototyping
Personalization in Persuasive Technology
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Innovation practices and their boundary-crossing mechanisms: a review and proposals for the future
In: Technology Analysis & Strategic Management 24 (2012), p. 181–217
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Discontinuous Innovation: Learning to Manage the Unexpected
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