However, manufacturing companies rely on ERP systems while operating with highly specific processes. Therefore, this thesis addresses the limited understanding of how structured training can support ERP implementations in this context.

A qualitative case study was conducted through semi-structured interviews with training managers and end-users to capture insights from both perspectives.

The findings indicate that manufacturing companies should align required competencies, training content, methods, delivery and evaluation. The analysis identifies the following critical competencies: ERP concept knowledge, software knowledge, business process knowledge, problem-solving knowledge, rationale of the changes, training navigation knowledge as well as digital literacy and soft skills. SAM (Successive Approximation Model) is proposed as a suitable training design framework, supported by a TNA (Training Needs Analysis) to determine target-group needs. A mix of synchronous and asynchronous methods is required. The methods should also reflect different levels of Bloom’s Taxonomy. Training delivery should combine an LMS (Learning Management System) with a train-the-trainer approach. Evaluation should integrate subjective and quantitative measures to identify gaps and guide further improvement.This thesis contributes to practice by providing context-specific recommendations for ERP end-user training in manufacturing companies and to research by contextualising such training within established learning models.