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The volume presents innovations in data analysis and
classification and gives an overview of the state of the art in
these scientific fields and applications. Areas that receive
considerable attention in the book are discrimination and
clustering, data analysis and statistics, as well as applications
in marketing, finance, and medicine. The reader will find material
on recent technical and methodological developments and a large
number of applications demonstrating the usefulness of the newly
developed techniques.
It is a great privilege and pleasure to write a foreword for a book
honor ing Wolfgang Gaul on the occasion of his sixtieth birthday.
Wolfgang Gaul is currently Professor of Business Administration and
Management Science and the Head of the Institute of Decision Theory
and Management Science, Faculty of Economics, University of
Karlsruhe (TH), Germany. He is, by any measure, one of the most
distinguished and eminent scholars in the world today. Wolfgang
Gaul has been instrumental in numerous leading research initia
tives and has achieved an unprecedented level of success in
facilitating com munication among researchers in diverse
disciplines from around the world. A particularly remarkable and
unique aspect of his work is that he has been a leading scholar in
such diverse areas of research as graph theory and net work models,
reliability theory, stochastic optimization, operations research,
probability theory, sampling theory, cluster analysis, scaling and
multivariate data analysis. His activities have been directed not
only at these and other theoretical topics, but also at
applications of statistical and mathematical tools to a multitude
of important problems in computer science (e.g., w- mining),
business research (e.g., market segmentation), management science
(e.g., decision support systems) and behavioral sciences (e.g.,
preference mea surement and data mining). All of his endeavors have
been accomplished at the highest level of professional excellence."
Nadine Teusler untersucht die Wirkung strategischer
Stabilitatsfaktoren in Unternehmenskooperationen untereinander
sowie auf die Leistungsfahigkeit und Stabilitat der Kooperation.
Aus einer systematischen Sammlung von Stabilitatsfaktoren trifft
sie eine Auswahl und entwickelt ein komplexes
Ursache-Wirkungsmodell.
Michael Brusch prasentiert ein Vorgehenskonzept zur Durchfuhrung
einer Praferenzanalyse mittels Conjointanalyse fur
Dienstleistungsinnovationen, das vor allem multimediale Stimuli
einsetzt. Im Mittelpunkt stehen insbesondere die gezielte
Ausrichtung der Datenerhebung auf (potenzielle) Kunden, die
Vorschaltung einer umfangreichen Informationsphase, die
hinreichende Beschreibung innovativer Eigenschaften durch eine
adaquate Prasentation und die explizite Berucksichtigung
konstitutiver und spezifischer Dienstleistungsmerkmale.
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