The continuing soar in popularity when it comes to standardized information systems sold en masse
under the labelling of Enterprise Resource Planning (ERP) Systems is somewhat kept under control by
the ever flowing stream of reports from the industry of implementations gone bad. According to some
researchers it is possible to assume that as many as 90% of all initiated ERP implementation projects
can be regarded as failures as a result of changes in scope, prolongation of the project time or simply
budget overruns. With the implementation of an ERP system being a very costly and risky endeavour,
organizations considering “getting on the bandwagon” stand much to gain from pre-emptively
forecasting the probability of success for an ERP implementation in their enterprise. Given this, the
purpose of this paper is to investigate a possible conceptual framework for forecasting ERP
implementation success and discuss the role of such a framework in a software based tool. This was
achieved through an initial in-depth literary review aimed at finding factors affecting the outcome of
the ERP implementation projects. These results were then communicated to an industrial support
group comprised of possible ERP implementation stakeholders. After lengthy discussions concerning
the usability, validity and reliability of the proposed list of factors, a conceptual framework was
agreed upon for forecasting ERP implementation success. The framework was then tested against a
number of possible stakeholders outside the industrial support group. As the results show we have
been able to create a conceptual framework for forecasting ERP implementation success that is
currently in the second wave of testing. In this paper we then specifically discuss the future researchand
usage implications of our findings. As a conclusion, a draft for future research is presented.