Design principles for a hybrid intelligence decision support system for business model validation

被引：0
|
作者：
Dominik Dellermann
Nikolaus Lipusch
Philipp Ebel
Jan Marco Leimeister
机构：
[1] University of Kassel,Research Center for IS Design (ITeG), Information Systems
[2] University of St. Gallen,Institute of Information Management
来源：
Electronic Markets | 2019年 / 29卷
关键词：
Collective intelligence; Machine learning; Decision support system; Hybrid intelligence; Business model; Decision making; D81;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
One of the most critical tasks for startups is to validate their business model. Therefore, entrepreneurs try to collect information such as feedback from other actors to assess the validity of their assumptions and make decisions. However, previous work on decisional guidance for business model validation provides no solution for the highly uncertain and complex context of early-stage startups. The purpose of this paper is, thus, to develop design principles for a Hybrid Intelligence decision support system (HI-DSS) that combines the complementary capabilities of human and machine intelligence. We follow a design science research approach to design a prototype artifact and a set of design principles. Our study provides prescriptive knowledge for HI-DSS and contributes to previous work on decision support for business models, the applications of complementary strengths of humans and machines for making decisions, and support systems for extremely uncertain decision-making problems.
引用
收藏
页码：423 / 441
页数：18
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