@article{WeyerTiberiusBicanetal.2021,
  author    = {Weyer, Julia and Tiberius, Victor and Bican, Peter and Kraus, Sascha},
  title     = {Digitizing grocery retailing},
  series = {International journal of innovation and technology management},
  volume    = {17},
  journal   = {International journal of innovation and technology management},
  number    = {08},
  publisher = {World Scientific Publishing},
  address   = {Singapore},
  issn      = {0219-8770},
  doi       = {10.1142/S0219877020500583},
  year      = {2021},
  abstract  = {Multiple emerging technologies both threaten grocers and offer them attractive opportunities to enhance their value propositions, improve processes, reduce costs, and therefore generate competitive advantages. Among the variety of technological innovations and considering the scarcity of resources, it is unclear which technologies to focus on and where to implement them in the value chain. To develop the most probable technology forecast that addresses the application of emerging technologies in the grocery value chain within the current decade, we conduct a two-stage Delphi study. Our results suggest a high relevance of almost all technologies. The panel is only skeptical about three specific projections. As a consequence, grocers are advised to build up knowledge regarding the application of these technologies in the most promising areas of their value chain.},
  language  = {en}
}
@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}
}