TY  - CHAP
A1  - Grum, Marcus
ED  - Shishkov, Boris
T1  - Context-aware, intelligent musical instruments for improving knowledge-intensive business processes
T2  - Business modeling and software design
N2  - With shorter song publication cycles in music industries and a reduced number of physical contact opportunities because of disruptions that may be an obstacle for musicians to cooperate, collaborative time consumption is a highly relevant target factor providing a chance for feedback in contemporary music production processes. This work aims to extend prior research on knowledge transfer velocity by augmenting traditional designs of musical instruments with (I) Digital Twins, (II) Internet of Things and (III) Cyber-Physical System capabilities and consider a new type of musical instrument as a tool to improve knowledge transfers at knowledge-intensive forms of business processes. In a design-science-oriented way, a prototype of a sensitive guitar is constructed as information and cyber-physical system. Findings show that this intelligent SensGuitar increases feedback opportunities. This study establishes the importance of conversion-specific music production processes and novel forms of interactions at guitar playing as drivers of high knowledge transfer velocities in teams and among individuals.
KW  - business process
KW  - knowledge transfer
KW  - CPS
KW  - prototype
Y1  - 2022
SN  - 978-3-031-11509-7
SN  - 978-3-031-11510-3
U6  - https://doi.org/10.1007/978-3-031-11510-3_5
VL  - 453
SP  - 69
EP  - 88
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Grum, Marcus
A1  - Bender, Benedict
A1  - Gronau, Norbert
A1  - Alfa, Attahiru S.
T1  - Efficient task realizations in networked production infrastructures
T2  - Proceedings of the Conference on Production Systems and Logistics
N2  - As Industry 4.0 infrastructures are seen as highly evolutionary environment with volatile, and time-dependent workloads for analytical tasks, particularly the optimal dimensioning of IT hardware is a challenge for decision makers because the digital processing of these tasks can be decoupled from their physical place of origin. Flexible architecture models to allocate tasks efficiently with regard to multi-facet aspects and a predefined set of local systems and external cloud services have been proven in small example scenarios. This paper provides a benchmark of existing task realization strategies, composed of (1) task distribution and (2) task prioritization in a real-world scenario simulation. It identifies heuristics as superior strategies.
KW  - Industry 4.0
KW  - CPS
KW  - Decentral Decision Making
KW  - Industrial Analytics
KW  - Case Study
Y1  - 2020
U6  - https://doi.org/10.15488/9682
SP  - 397
EP  - 407
PB  - publish-Ing.
CY  - Hannover
ER  -