In this doctoral thesis, a current and widespread approach to business modelling is developed further using findings from data analytics and theories to improve user understanding. The focus is on the goals of an objective business modeling that is comprehensible to all users.
Business modelling is an important part of companies to determine their strategy and as a linking element between the strategic and operational level. Different research areas investigate how such business modelling can be supported or applied in different situations (e.g. after disruptive shocks). However, the starting point for these approaches is always a subjective top-down approach, based on the knowledge of the modeler. This involves the challenge that the created business models are incorrect and depend on the knowledge and perspective of the modeler. In addition, they are strongly linked to the strategic level and the abstract management view associated with it.
In a design science research approach in this thesis, requirements and design principles for objective and easily understandable business modeling were developed. In addition, these principles were instantiated in a tool that can (semi-)automatically create a business model by using enterprise data. ... mehrAt the same time, the understanding of all users is increased by integrating the relationships between the elements, the value flow and an extension of value capturing. This provides the foundation for a common communication platform, similar to a blueprint in the construction industry. The result of this work is not only the tool but also an extension of the current state of the art of research in the field of business modeling, as well as corresponding principles and findings, which can be used to master individual challenges in practice and science.