An enhanced model for risk analysis in new product development

New product development is characterized by uncertainties that are a consequence of insufficient experience and missing knowledge, finally leading to risks. In literature, a multitude of different risk models is provided. However, a comprehensive risk model that is suitable for analysing different types of uncertainties and their interdependences does not exist. In this publication we present the concept of an enhanced risk model that combines the main ideas of the Standard Risk Model with the basics of tree analysis in order to analyze uncertainties in new product development. Furthermore, we operationalize the application of the model by the use of Multiple-Domain Matrices.