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

by   Dominik Dellermann, et al.

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 earlystage 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.



There are no comments yet.


page 5

page 10

page 13

page 14


Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence

Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence...

Finding the unicorn: Predicting early stage startup success through a hybrid intelligence method

Artificial intelligence is an emerging topic and will soon be able to pe...

A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems

Computer vision (CV) techniques try to mimic human capabilities of visua...

Social and Business Intelligence Analysis Using PSO

The goal of this paper is to elaborate swarm intelligence for business i...

Group Decision Support for agriculture planning by a combination of Mathematical Model and Collaborative Tool

Decision making in the Agriculture domain can be a complex task. The lan...

Developing a Production System for Purpose of Call Detection in Business Phone Conversations

For agents at a contact centre receiving calls, the most important piece...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.