Abstract
The quality of conceptual models has been the subject of the academic research28 for a long time. Comprehensive work has been conducted on the quality of data models29, and, in recent years, related work analyzed quality issues related to process models30 as well. Even so, a common consensus about the essential quality features of these models has not yet been achieved. Reports about the practical use of corporate-wide data models31 and their insufficient benefits prove that significant modeling initiatives carry an economic risk. Therefore, process models have to be evaluated using the same factors apply as for any other product, i.e. time, costs, and quality. In particular, the errors made in the 80’s, when company-wide data models were often created without a significant purpose in mind, need to be avoided when creating process models.
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© 2003 Springer-Verlag Berlin Heidelberg
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Rosemann, M. (2003). Preparation of Process Modeling. In: Becker, J., Kugeler, M., Rosemann, M. (eds) Process Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24798-2_3
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DOI: https://doi.org/10.1007/978-3-540-24798-2_3
Publisher Name: Springer, Berlin, Heidelberg
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