ERP projects are complex purposes which influence main internal and external operations of companies. The success of the project directly influences the performance and the survival of the organisation. Recent research has methodically collected plausible data in the field of critical success factors (CSFs) within ERP projects. This article describes how the collected publications were used to identify the main CSFs and how they can be ranked according to the importance of success or failure through a literature review. Because of the influence of CSFs to ERP-projects in general, the term "ERP project" is used in the further parts of this paper. The second part of this paper proposes how CSFs can be integrated into classical ERP project phases. Past researches did nearly not investigate how CSFs which were mentioned in different publications can influence the ERP-project phases. At the end of the paper the trend of CSF in relation of the publication year and the origin of the author are shown.

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There are different success factors that influence the outcome of ERP-projects. According to Bullen and Rockart (1981), these success factors depend on five main influencing variables. One of these variables is industry. This shows that each industry has certain requirements on success measurement other industries, in general, do not. In healthcare for example the legal constraints are different from other branches. Each success measurement model has a specific aim and covers specific needs. It measures different success dimensions and can be used at different stages of ERP-projects. Some of the models consider different phases within ERP-projects others can be used to determine overall ERP-success after the implementation of an IS. One important factor for the use of such models is if the models covers branch specific needs in a way that allows the researchers to allocate meaningful results and recommendations for actions. This chapter investigates the specific needs on ERP-success measurement of the healthcare industry and the fit of the existing success measurement models for this use case.