@article{DragičevićUllrichTsuietal.2020,
  author    = {Dragičević, Nikolina and Ullrich, Andr{\´e} and Tsui, Eric and Gronau, Norbert},
  title     = {A conceptual model of knowledge dynamics in the industry 4.0 smart grid scenario},
  series = {Knowledge management research \& practice : KMRP},
  volume    = {18},
  journal   = {Knowledge management research \& practice : KMRP},
  number    = {2},
  publisher = {Taylor \& Francis},
  address   = {London [u.a.]},
  issn      = {1477-8238},
  doi       = {10.1080/14778238.2019.1633893},
  pages     = {199 -- 213},
  year      = {2020},
  abstract  = {Technological advancements are giving rise to the fourth industrial revolution - Industry 4.0 -characterized by the mass employment of smart objects in highly reconfigurable and thoroughly connected industrialproduct-service systems. The purpose of this paper is to propose a theory-based knowledgedynamics model in the smart grid scenario that would provide a holistic view on the knowledge-based interactions among smart objects, humans, and other actors as an underlyingmechanism of value co-creation in Industry 4.0. A multi-loop and three-layer - physical, virtual, and interface - model of knowledge dynamics is developedby building on the concept of ba - an enabling space for interactions and theemergence of knowledge. The model depicts how big data analytics are just one component inunlocking the value of big data, whereas the tacit engagement of humans-in-the-loop - theirsense-making and decision-making - is needed for insights to be evoked fromanalytics reports and customer needs to be met.},
  language  = {en}
}
@book{Gronau2020,
  author    = {Gronau, Norbert},
  title     = {Knowledge Modeling and Description Language 3.0},
  publisher = {GITO},
  address   = {Berlin},
  isbn      = {978-3-95545-330-5},
  pages     = {75},
  year      = {2020},
  language  = {de}
}
@article{LassGronau2020,
  author    = {Lass, Sander and Gronau, Norbert},
  title     = {A factory operating system for extending existing factories to Industry 4.0},
  series = {Computers in industry : an international, application oriented research journal},
  volume    = {115},
  journal   = {Computers in industry : an international, application oriented research journal},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0166-3615},
  doi       = {10.1016/j.compind.2019.103128},
  pages     = {8},
  year      = {2020},
  abstract  = {Cyber-physical systems (CPS) have shaped the discussion about Industry 4.0 (I4.0) for some time. To ensure the competitiveness of manufacturing enterprises the vision for the future figures out cyber-physical production systems (CPPS) as a core component of a modern factory. Adaptability and coping with complexity are (among others) potentials of this new generation of production management. The successful transformation of this theoretical construct into practical implementation can only take place with regard to the conditions characterizing the context of a factory. The subject of this contribution is a concept that takes up the brownfield character and describes a solution for extending existing (legacy) systems with CPS capabilities.},
  language  = {en}
}