Using case–based learning when teaching enterprise modeling could provide the realism needed for students to understand the complexity of a real modeling situation. This realism could be enhanced further by having case material presented in the form similar to what is found in modeling practice, such as recorded interviews and internal and external documents. However, creating this kind of mate...

To my mother and in memory of my father… Contents Summary Acknowledgments

The success of prediction models for business purposes should not be measured by their accuracy only. Their evaluation should also take into account the higher importance of precise prediction for “valuable” customers. We illustrate this idea through the example of churn modeling in telecommunications, where it is obviously much more important to identify potential churn among valuable customer...

The standard economic choice model assumes that the decision maker chooses from sets of alternatives. In contrast, we analyze a choice model in which the decision maker encounters the alternatives in the form of a list. We present two axioms similar in nature to the classical axioms of choice from sets. We show that they characterize all the choice functions from lists that involve the choice o...

This paper considers the role of corruption in impelling capital flight. Identifying corruption as one dimension of poor governance, the empirical analysis explores direct linkages between corruption and capital flight in a broad sample of countries. The novelty of this investigation is that it is based on a portfolio choice model of asset allocation that explicitly recognizes corruption as con...

The H and C chemical shifts of flavone and its five derivatives were determined completely using the basic 1D and 2D NMR experiments and molecular modeling. Of the six compounds used for our experiments, the NMR data of three compounds were published previously, but we found that the data of two compounds included wrong assignments. Therefore, we report the corrected data and the complete assig...

Vital statistics data offer a fertile ground for data mining. In this paper, we discuss the results of a data mining project on the causes of death aspect of the vital statistics data in the state of California. A data mining tool called Cubist is used to build predictive models out of two million cases over a nine-year period. The objective of our study is to discover knowledge that can be use...

Enterprise modelling (EM) is concerned with discovering, structuring and representing domain knowledge pertaining to different aspects of an organization. Participative EM, in particular, is a useful approach to eliciting this knowledge from domain experts with different backgrounds. In related work, tangible modelling – modelling with physical objects – has been identified as beneficial for gr...