Project Details
Projekt
Context-based prediction of network load to improve service quali-ty and customer satisfaction (T02#)
Subject Area
Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics
Term
from 2020 to 2024
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 210487104
The transfer project T2 investigates how context-based predictions can be used in practice to predict net-work loads and counteract overload situations in order to improve service quality and customer satisfac-tion. Based on this, the influence of service quality on customer satisfaction and the willingness to churn will be investigated in order to understand the relationship between these factors in their entirety. The transfer project T2 is part of the Collaborative Research Center (CRC) 1053 MAKI, whose goal is the re-search of new construction methods, new models, and procedures for future communication systems. Based on the preliminary work and in cooperation with Vodafone GmbH, the transfer project T2 aims to transfer the previous findings and approaches of MAKI subprojects into practice in order to deepen and further generalize them. The transfer project T2 offers, on the one hand, the possibility to transfer previous knowledge and approaches of both MAKI subprojects into practice. On the other hand, the transfer project offers the extraordinary opportunity to gain new insights regarding context factors, customer satisfaction and willingness to churn, which can only be achieved with great effort and to a limited extent within the scope of own user studies. The T2 transfer project can thus provide positive feedback for the entire CRC MAKI.
DFG Programme
Collaborative Research Centres (Transfer Project)
Applicant Institution
Technische Universität Darmstadt
Business and Industry
Vodafone D2 GmbH
Project Heads
Professor Dr. Oliver Hinz; Professorin Dr.-Ing. Anja Klein
