Effizientes Geschaftsprozessmanagement ist der entscheidene Erfolgsfaktor zur Optimierung logistischer Systeme. Der von Christian Kruse entwickelte Ansatz des referenzmodellgestutzten Geschaftsprozessmanagement beschreibt eine praktisch umsetzbare Vorgehensweise, die Qualitat und Effizienz logistischer Reorganisationsprojekte deutlich steigert. Der Autor leitet ein umfassendes Anforderungsmodell ab, das sich als Ausgangspunkt fur ein Logistik-Benchmarking eignet. Auf dieser Basis werden zwolf logistische Referenzmodelle zur Optimierung vertri ebslogistischer Systeme bei kundenanonymer Lagerfertigung entwickelt. Mit Hilfe der Referenzmodelle konnen ablaufbedingte Schwachstellen schnell identifiziert und unternehmensspezifische Anpassungen (Customizing) durchgefuhrt wer den.
Verzeichnis: Der vom Autor entwickelte Ansatz des referenzmodellgestutzten Geschaftsprozessmanagement beschreibt eine praktisch umsetzbare Vorgehensweise, die die Qualitat und Effizienz logistischer Reorganisationsprojekte deutlich steigert."

Finance researchers and asset management practitioners put a lot of effort into the question of optimal asset allocation. With this respect, a lot of research has been conducted on portfolio decision making as well as quantitative modeling and prediction models. This study brings together three fields of research, which are usually analyzed in an isolated manner in the literature: - Predictability of asset returns and their covariance matrix - Optimal portfolio decision making - Nonlinear modeling, performed by artificial neural networks, and their impact on predictions as well as optimal portfolio construction Including predictability in asset allocation is the focus of this work and it pays special attention to issues related to nonlinearities. The contribution of this study to the portfolio choice literature is twofold. First, motivated by the evidence of linear predictability, the impact of nonlinear predictions on portfolio performances is analyzed. Predictions are empirically performed for an investor who invests in equities (represented by the DAX index), bonds (represented by the REXP index) and a risk-free rate. Second, a solution to the dynamic programming problem for intertemporal portfolio choice is presented. The method is based on functional approximations of the investor's value function with artificial neural networks. The method is easily capable of handling multiple state variables. Hence, the effect of adding predictive parameters to the state space is the focus of analysis as well as the impacts of estimation biases and the view of a Bayesian investor on intertemporal portfolio choice. One important empirical result shows that residual correlation among state variables have an impact on intertemporal portfolio decision making.

[vorl]Religiously and politically motivated iconoclasms are a cultural-historical phenomenon. Hardly any culture that has invented images has not experienced attacks on its pictorial symbols. In contemporary cultures with societies that see themselves as enlightened and liberal, acts of image destruction should be considered obsolete. But even in pluralistically structured contemporary societies, iconoclasms can break out again with new violence.

Images are not born as art. With his ready-mades Marcel Duchamp embro-iled the art business in a debate about the inclusion and exclusion of every-day objects in 'high' art. Since then, it has been possible to cite Arthur Danto and talk of the "end of art". In retros-pect it becomes clear that Duchamp's expansion of what constitutes art resulted in an explosive increase of art objects and concepts of art, a trend still evident today. Moreover, images and objects from non-art areas with their own tradition provoke the art system by adapting art criteria. The contributions in this book address pro-vocations and interventions, the trans-fer or melding of image and object cultures and explore images, objects and actions in their cultural contexts to get to the bottom of the art system that is in a state of dissolution.

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