TY  - CONF
A1  - Boos, Wolfgang
A1  - Stroh, Max-Ferdinand
A1  - Phalachandra, Rajath Honagodu
A1  - Selvi, Suat
A1  - Boersma, Sijmen
A1  - Benning, Justus
A2  - Alfnes, Erlend
A2  - Romsdal, Anita
A2  - Strandhagen, Jan Ola
A2  - Cieminski, Gregor von
A2  - Romero, David
T1  - Measuring Acceptance and Benefits of AI-Based Resilience Services
T2  - Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. IFIP WG 5.7 International Conference, APMS 2023, Trondheim, Norway, September 17–21, 2023, Proceedings, Part II
N2  - Crisis situations can lead to extreme consequences for society and the economy, such as the disruption of supply chains and the collapse of critical infrastructure. The challenge for optimal crisis preparation lies in the unpredictability of causes, duration and scope, and severity. AI-based resilience services can aid in crisis preparation by providing software-based warnings, recommendations, and countermeasures. The aim of this paper is to present a method for evaluating such services in terms of their usefulness and acceptance. A questionnaire is presented, and the results of its piloting phase are disseminated. With these results, existing and projected AI-based services for crisis prevention can be evaluated.
T3  - IFIP advances in information and communication technology - 690 
KW  - crisis
KW  - resilience
KW  - artificial intelligence
KW  - user acceptance
KW  - benefit measurement
KW  - rev
KW  - 3
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/2930
UR  - https://link.springer.com/chapter/10.1007/978-3-031-43666-6_9
SN  - 978-3-03143-665-9
SN  - 978-3-031-43668-0
SN  - 978-3-031-43666-6
SN  - 1868-4238
SP  - 122
EP  - 135
PB  - Springer
CY  - Cham [u. a.]
ER  -