TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Schmidt, Rainer
A1  - Möhring, Michael
A1  - Härting, Ralf-Christian
A1  - Zimmermann, Alfred
A1  - Heitmann, Jan
A1  - Blum, Franziska
ED  - Neves-Silva, Rui
T1  - Leveraging textual information for improving decision making in the business process lifecycle
T2  - Intelligent Decision Technologies : Proceedings of the 7th KES International Conference on Intelligent Decision Technologies (KES-IDT 2015)
N2  - Business process implementations fail, because requirements are elicited incompletely. At the same time, a huge amount of unstructured data is not used for decision-making during the business process lifecycle. Data from questionnaires and interviews is collected but not exploited because the effort doing so is too high. Therefore, this paper shows how to leverage textual information for improving decision making in the business process lifecycle. To do so, text mining is used for analyzing questionnaires and interviews.
KW  - decision-making
KW  - BPM
KW  - process interviews
KW  - text mining
KW  - context data
Y1  - 2015
SN  - 978-331-91985-7-6
SB  - 978-331-91985-7-6
U6  - https://doi.org/10.1007/978-3-319-19857-6_48
DO  - https://doi.org/10.1007/978-3-319-19857-6_48
SP  - 563
EP  - 574
S1  - 12
PB  - Springer
CY  - Cham
ER  -