Augenstein, DominikDominikAugensteinFleig, ChristianChristianFleigDellermann, DominikDominikDellermann2023-04-132023-04-132018https://www.alexandria.unisg.ch/handle/20.500.14171/100963Organizations must be increasingly able to adapt to ever-changing environmental conditions. For the resulting transformations, companies need a solid knowledge of their current business models to transform them towards prospective target models. However, established business model creation frameworks are manual, error-prone, time- consuming and highly subjective. Following a design science research approach, this work proposes the development of an artefact for business model mining to overcome the weaknesses of manual approaches. In a set of meta-requirements, design principles and a prototype, it will be shown how qualitative value propositions can be extracted from companies’ web pages. Embedded in a comprehensive data-driven artefact, it should be possible to extract the whole business model of a company through organizational information and its systems. This provides a broader view on a company’s value creation next to existing top-down approaches and enlarges existing business model research.enValue propositionbusiness modeldesign scienceTowards Value Proposition Mining – Exploration of Design Principlesconference paper