Start Date
16-8-2018 12:00 AM
Description
As economy thrives on, fast-paced environments decisions have to be made more quickly than ever before. Even though decision-makers face a constantly increasing amount of available information and information systems to support them, it might take too long, especially in highly competitive markets. This is one reason for decision-makers not only to make rational decisions but to trust their intuition in making an intuitive decision. Currently there is no strategic information system at hand to support intuitive decision-making and documentation. Therefore, a prototype was implemented to support decision-makers in managing their decisions under different conditions and learning from the outcomes. Qualitative data from interviews with ten C-level managers and quantitative data from a survey were used to support the design process in order to meet managerial demands in practice.
Recommended Citation
Rueckel, David; Krumay, Barbara; and Wicke, Philipp, "Decision Engineering in Case of Intuitive Decisions" (2018). AMCIS 2018 Proceedings. 19.
https://aisel.aisnet.org/amcis2018/StrategicIT/Presentations/19
Decision Engineering in Case of Intuitive Decisions
As economy thrives on, fast-paced environments decisions have to be made more quickly than ever before. Even though decision-makers face a constantly increasing amount of available information and information systems to support them, it might take too long, especially in highly competitive markets. This is one reason for decision-makers not only to make rational decisions but to trust their intuition in making an intuitive decision. Currently there is no strategic information system at hand to support intuitive decision-making and documentation. Therefore, a prototype was implemented to support decision-makers in managing their decisions under different conditions and learning from the outcomes. Qualitative data from interviews with ten C-level managers and quantitative data from a survey were used to support the design process in order to meet managerial demands in practice.