Today’s business world is highly dynamic, competitive and hardly predictable. In the context of innovation management, this leads to shorter product lifecycles, higher degrees of uncertainty and ultimately to high failure rates in New Product Development (NPD) processes. Most often, this is due to deficiencies in effectively and efficiently managing the early stages of the innovation process, which are referred to as the (Fuzzy) Front End of Innovation (FEI). As substantial work has been done in relation to the later stages of the FEI (idea generation, selection and concept development), the preceding stages of opportunity identification and analysis have been neglected. Especially in terms of identifying and depicting process-related factors and activities in practitioner relevant, formal process models, little to no research has been done so far. This research identifies and analyses FEI principles, differentiates between process and non-process principles and combines process-related ones in a comprehensive, theoretically grounded and practically applicable process model. Employing a design science research approach, the artefact – the FEI process model – is designed and built together with industry partners of a current research project. Following the research methodology, principles at the FEI are step-by-step identified, process model design requirements are derived based on these and the formal process model specifically supporting process key activities at the strategic FEI is developed. Evaluation of process model is done design inherent (ex-ante, focus group study) and final outcome related (ex-post, web-based survey). The pivotal contribution of the research is identification and structuring of processrelated strategic FEI key activities. Ex-post evaluation results confirm the practical relevance of the developed process model and its syntactic, semantic and pragmatic quality. In addition, the thesis provides contributions to knowledge base by identifying general FEI principles, process and non-process design requirements and by indicating future research needs.