Print Email Facebook Twitter A guide to ERP strategy selection Title A guide to ERP strategy selection: A design study for a decision support tool Author Seepers, Nikki (TU Delft Technology, Policy and Management) Contributor Ludema, M.W. (mentor) Janssen, M.F.W.H.A. (graduation committee) Degree granting institution Delft University of Technology Programme Management of Technology (MoT) Date 2024-03-26 Abstract 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. Subject ERPEnterprise Resource PlanningStrategyDecision makingTwo-Tier ERP strategy To reference this document use: http://resolver.tudelft.nl/uuid:2053ff02-2056-4307-8216-d78a29433bf7 Part of collection Student theses Document type master thesis Rights © 2024 Nikki Seepers Files PDF MSc_Thesis_-_Seepers_.pdf 3.44 MB Close viewer /islandora/object/uuid:2053ff02-2056-4307-8216-d78a29433bf7/datastream/OBJ/view