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  - JOUR
A1  - Dragičević, Nikolina
A1  - Ullrich, André
A1  - Tsui, Eric
A1  - Gronau, Norbert
T1  - A conceptual model of knowledge dynamics in the industry 4.0 smart grid scenario
JF  - Knowledge management research & practice : KMRP
N2  - 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.
KW  - Industry 4.0
KW  - tacit knowledge
KW  - humans-in-the-loop
KW  - big data analytics
KW  - internet of things and services
KW  - smart grid
Y1  - 2020
U6  - https://doi.org/10.1080/14778238.2019.1633893
SN  - 1477-8238
SN  - 1477-8246
VL  - 18
IS  - 2
SP  - 199
EP  - 213
PB  - Taylor & Francis
CY  - London [u.a.]
ER  -