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System-wide Learning in Cyber-Physical Service Systems: A Research Agenda [in press]

Martin, Dominik; Kühl, Niklas; Bischhoffshausen, Johannes Kunze von; Satzger, Gerhard

The rapid development in sensor technology as well as in communication mechanisms exponentially grows the amount of data that is permanently gathered via products, machines, or assets within Cyber-Physical Systems. While this data offers enormous potential for creating additional value by generating valuable insights or creating innovative services, these opportu-nities are often times not exploited: Especially in complex value creation networks, only individual actors tend to have access to the collected data and they hardly share it with other network members. In our conceptual work, we target a three-fold contribution: First, we develop a framework for system-wide learning that structures data-based collaboration with other actors in a complex value creation network based on IoT, a Cyber-Physical Service System. Second, we systematically develop five individual research questions that need to be addressed to realize viable solutions. And thirdly, we conceptualize a research design to address this research agenda in future steps.

Zugehörige Institution(en) am KIT Karlsruhe Service Research Institute (KSRI)
Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 11.2020
Sprache Englisch
Identifikator KITopen-ID: 1000118627
Erschienen in Proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2020), Kristiansand, Norwegen, November 2020
Schlagwörter System-wide Learning, Cyber-Physical Service System, Industrial Internet of Things, Research Agenda
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