TY - JOUR A1 - Weyer, Julia A1 - Tiberius, Victor A1 - Bican, Peter A1 - Kraus, Sascha T1 - Digitizing grocery retailing BT - the role of emerging technologies in the value chain JF - International journal of innovation and technology management N2 - 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. KW - Delphi study KW - technological forecasting KW - grocery retailing KW - artificial intelligence KW - augmented reality KW - big data analytics KW - blockchain technology KW - drones KW - RFID Y1 - 2021 U6 - https://doi.org/10.1142/S0219877020500583 SN - 0219-8770 SN - 1793-6950 VL - 17 IS - 08 PB - World Scientific Publishing CY - Singapore ER - TY - CHAP A1 - Glaschke, Christian A1 - Gronau, Norbert A1 - Bender, Benedict T1 - Cross-System Process Mining using RFID Technology T2 - Proceedings of the Sixth International Symposium on Business Modeling and Software Design - BMSD N2 - 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. KW - Process Mining KW - RFID KW - Production KW - Cross-System Y1 - 2016 SN - 978-989-758-190-8 U6 - https://doi.org/10.5220/0006223501790186 SP - 179 EP - 186 PB - SCITEPRESS - Science and Technology Publications CY - Setúbal ER - TY - JOUR A1 - Scheiner, Ricarda A1 - Abramson, Charles I. A1 - Brodschneider, Robert A1 - Crailsheim, Karl A1 - Farina, Walter M. A1 - Fuchs, Stefan A1 - Grünewald, Bernd A1 - Hahshold, Sybille A1 - Karrer, Marlene A1 - Koeniger, Gudrun A1 - Königer, Niko A1 - Menzel, Randolf A1 - Mujagic, Samir A1 - Radspieler, Gerald A1 - Schmickl, Thomas A1 - Schneider, Christof A1 - Siegel, Adam J. A1 - Szopek, Martina A1 - Thenius, Ronald T1 - Standard methods for behavioural studies of Apis mellifera JF - Journal of apicultural research N2 - 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. KW - COLOSS KW - BEEBOOK KW - honey bee KW - behaviour KW - gustatory responsiveness KW - olfactory responsiveness KW - phototaxis KW - non-associative learning KW - associative learning KW - appetitive learning KW - aversive learning KW - locomotion KW - temperature sensing KW - honey bee flight KW - observation hive KW - honey bee dance KW - honey bee navigation KW - harmonic radar KW - BeeScan KW - RFID KW - honey bee mating KW - free-flying honey bees Y1 - 2013 U6 - https://doi.org/10.3896/IBRA.1.52.4.04 SN - 0021-8839 SN - 2078-6913 VL - 52 IS - 4 PB - International Bee Research Association CY - Cardiff ER -