Hybrid Intelligence DSS for Business Model Innovation
Type
conference paper
Date Issued
2017
Author(s)
Dellermann, Dominik
Research Team
IWI6
Abstract
Setting a new venture is a challenging tasks which leads to dramatic numbers of failures. For entrepreneurs, one of the most pivotal tasks is to develop their business model. Therefore, entrepreneurs try to collect information that might support them in their decision making. Such information includes feedback from other actors to assess the validity of their assumptions and make decisions. However, entrepreneurs are constraint by bounded rationality, which prevents them from making optimal decisions. To solve this problem, the aim of this research is to develop a
decision support system (DSS) for supporting entrepreneurs’ decisions regarding their business model to support accessing, processing, and the interpretation of relevant information. To achieve this, we follow a design science approach to develop a Hybrid Intelligence DSS that combines the strength of both machine and collective intelligence. Our contributions will consist of preliminary prescriptive knowledge, extending the scope of DSS to
business model innovation, and a novel approach to support decision making by combining machine and collective intelligence.
decision support system (DSS) for supporting entrepreneurs’ decisions regarding their business model to support accessing, processing, and the interpretation of relevant information. To achieve this, we follow a design science approach to develop a Hybrid Intelligence DSS that combines the strength of both machine and collective intelligence. Our contributions will consist of preliminary prescriptive knowledge, extending the scope of DSS to
business model innovation, and a novel approach to support decision making by combining machine and collective intelligence.
Language
English
Keywords
Accelerator
Collective Intelligence
Design Science Research
Machine Learning
HSG Classification
contribution to practical use / society
Event Title
Academy of Management Annual Meeting, TIM Doctoral Research Development Workshop
Event Location
Atlanta, Georgia, USA
Event Date
04.08.2017-09.08.2017
Eprints ID
251306