@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}
}
@inproceedings{GlaschkeGronauBender2016,
  author    = {Glaschke, Christian and Gronau, Norbert and Bender, Benedict},
  title     = {Cross-System Process Mining using RFID Technology},
  series = {Proceedings of the Sixth International Symposium on Business Modeling and Software Design - BMSD},
  booktitle = {Proceedings of the Sixth International Symposium on Business Modeling and Software Design - BMSD},
  publisher = {SCITEPRESS - Science and Technology Publications},
  address   = {Set{\´u}bal},
  isbn      = {978-989-758-190-8},
  doi       = {10.5220/0006223501790186},
  pages     = {179 -- 186},
  year      = {2016},
  abstract  = {In times of digitalization, the collection and modeling of business processes is still a challenge for companies. The demand for trustworthy process models that reflect the actual execution steps therefore increases. The respective kinds of processes significantly determine both, business process analysis and the conception of future target processes and they are the starting point for any kind of change initiatives. Existing approaches to model as-is processes, like process mining, are exclusively focused on reconstruction. Therefore, transactional protocols and limited data from a single application system are used. Heterogeneous application landscapes and business processes that are executed across multiple application systems, on the contrary, are one of the main challenges in process mining research. Using RFID technology is hence one approach to close the existing gap between different application systems. This paper focuses on methods for data collection from real world objects via RFID technology and possible combinations with application data (process mining) in order to realize a cross system mining approach.},
  language  = {en}
}
@misc{ScheinerAbramsonBrodschneideretal.2013,
  author    = {Scheiner, Ricarda and Abramson, Charles I. and Brodschneider, Robert and Crailsheim, Karl and Farina, Walter M. and Fuchs, Stefan and Gr{\"u}newald, Bernd and Hahshold, Sybille and Karrer, Marlene and Koeniger, Gudrun and K{\"o}niger, Niko and Menzel, Randolf and Mujagic, Samir and Radspieler, Gerald and Schmickl, Thomas and Schneider, Christof and Siegel, Adam J. and Szopek, Martina and Thenius, Ronald},
  title     = {Standard methods for behavioural studies of Apis mellifera},
  series = {Journal of apicultural research},
  volume    = {52},
  journal   = {Journal of apicultural research},
  number    = {4},
  publisher = {International Bee Research Association},
  address   = {Cardiff},
  issn      = {0021-8839},
  doi       = {10.3896/IBRA.1.52.4.04},
  pages     = {58},
  year      = {2013},
  abstract  = {In this BEEBOOK paper we present a set of established methods for quantifying honey bee behaviour. We start with general methods for preparing bees for behavioural assays. Then we introduce assays for quantifying sensory responsiveness to gustatory, visual and olfactory stimuli. Presentation of more complex behaviours like appetitive and aversive learning under controlled laboratory conditions and learning paradigms under free-flying conditions will allow the reader to investigate a large range of cognitive skills in honey bees. Honey bees are very sensitive to changing temperatures. We therefore present experiments which aim at analysing honey bee locomotion in temperature gradients. The complex flight behaviour of honey bees can be investigated under controlled conditions in the laboratory or with sophisticated technologies like harmonic radar or RFID in the field. These methods will be explained in detail in different sections. Honey bees are model organisms in behavioural biology for their complex yet plastic division of labour. To observe the daily behaviour of individual bees in a colony, classical observation hives are very useful. The setting up and use of typical observation hives will be the focus of another section. The honey bee dance language has important characteristics of a real language and has been the focus of numerous studies. We here discuss the background of the honey bee dance language and describe how it can be studied. Finally, the mating of a honey bee queen with drones is essential to survival of the entire colony. We here give detailed and structured information how the mating behaviour of drones and queens can be observed and experimentally manipulated. The ultimate goal of this chapter is to provide the reader with a comprehensive set of experimental protocols for detailed studies on all aspects of honey bee behaviour including investigation of pesticide and insecticide effects.},
  language  = {en}
}