TY - GEN
T1 - Gathering Knowledge from Decision Making
AU - Krumay, Barbara
AU - Rückel, David Christoph
AU - Wicke, Philipp
PY - 2019
Y1 - 2019
N2 - Companies are forced to make decisions, either based on existing data or intuition.
Documenting decisions would enrich the data base for future decisions and enable learning
from experience. This learning is directly related to knowledge management, another
important topic for companies. Both areas – decision making and knowledge management –
are supported by information systems. However, currently, decision support systems seem to
have fulfilled their duty when the decision has been made and knowledge management
systems are not seen as a valid instrument for documenting decisions. This research projects
aims at developing an artifact, able to document decisions made and converting it into
explicit knowledge. The artifact is developed based on an iterative Design Science Research
approach for integrating decision making and the documentation thereof into knowledge
management.
AB - Companies are forced to make decisions, either based on existing data or intuition.
Documenting decisions would enrich the data base for future decisions and enable learning
from experience. This learning is directly related to knowledge management, another
important topic for companies. Both areas – decision making and knowledge management –
are supported by information systems. However, currently, decision support systems seem to
have fulfilled their duty when the decision has been made and knowledge management
systems are not seen as a valid instrument for documenting decisions. This research projects
aims at developing an artifact, able to document decisions made and converting it into
explicit knowledge. The artifact is developed based on an iterative Design Science Research
approach for integrating decision making and the documentation thereof into knowledge
management.
M3 - Conference proceedings
T3 - PACIS 2019 Proceedings
BT - PACIS 2019
A2 - AIS, null
ER -