This thesis goes into the challenging process of selecting Enterprise Resource Planning (ERP) strategies, highlighting the complexities involved in deciding between different approaches. The study uses a qualitative research methodology, combining literature and interviews, to gain a better understanding of ERP strategy selection. The study sheds light on the intricate dynamics of several ERP strategies, such as the Two-Tier strategy and Best of Breed solutions, and provides insights into their benefits, downsides, and implementation implications.

The study creates a decision tool using an iterative approach driven by the double diamond technique with the goal of offering a systematic framework for selecting ERP strategies. This tool incorporates essential criteria determined through a literature research and interviews, including functionality, organisational complexity, IT expertise, and business alignment. The decision tool is intended to help organisations navigate the intricacies of ERP strategy selection, allowing them to make educated decisions that are aligned with their strategic goals and operational requirements.

The study's theoretical implications add to the existing body of knowledge by clarifying the nuances of the Two-Tier ERP strategy, highlighting the complexities of ERP strategy selection, identifying key criteria and constraints, and emphasising the importance of IT-business alignment in decision-making.