Recursos de colección

ePub-WU OAI Archive (Vienna Univ. of Econ. and B.A.) (4.711 recursos)

Repository of Vienna University of Economics and Business Administration.

Mostrando recursos 1 - 6 de 6

1. Content-Based Social Network Analysis of Mailing Lists

   Bohn, Angela; Feinerer, Ingo; Hornik, Kurt; Mair, Patrick
   Social Network Analysis (SNA) provides tools to examine relationships between people. Text Mining (TM) allows capturing the text they produce inWeb 2.0 applications, for example, however it neglects their social structure. This paper applies an approach to combine the two methods named "content-based SNA". Using the R mailing lists, R-help and R-devel, we show how this combination can be used to describe people's interests and to find out if authors who have similar interests actually communicate. We find that the expected positive relationship between sharing interests and communicating gets stronger as the centrality scores of authors in the communication networks increase.
   

2. NELA - nachhaltiger Energieverbrauch und Lebensstile in armen und armutsgefährdeten Haushalten

   Brunner, Karl-Michael; Spitzer, Markus; Christanell, Anja
   

3. "Why Don't Consumers Care about CSR?" - A Qualitative Study Exploring the Role of CSR in Consumption Decisions. Empirical Paper

   Öberseder, Magdalena; Schlegelmilch, Bodo B.; Gruber, Verena
   There is an unresolved paradox concerning the role of corporate social responsibility (CSR) in consumer behavior. On the one hand, consumers demand more and more CSR information from corporations. On the other hand, research indicates a considerable gap between consumers' apparent interest in CSR and the limited role of CSR in purchase behavior. This paper attempts to shed light on this paradox by drawing on qualitative data from in-depth interviews. The findings show that the evaluation of CSR initiatives is a complex and hierarchically-structured process, where consumers distinguish between core, central, and peripheral factors. This paper describes these factors in...
   

4. Jahresabschlussorientierte Analyse von Unternehmenszusammenschlüssen am österreichischen Versicherungsmarkt untersucht am Beispiel des Zeitraumes 1996-2007

   Prüggler, Christina
   Das Ziel der vorliegenden Arbeit besteht darin, eine geeignete Methode zur Messung des Zusammenschlusserfolges von Versicherungsunternehmen darzustellen bzw. zu untersuchen, ob Zusammenschlüsse an Versicherungsmärkten zur Verbesserung bzw. Verschlechterung des wirtschaftlichen Unternehmenserfolges der involvierten Unternehmen beitragen. Die konkrete Anwendung dieser Methode erfolgt anhand einer Untersuchung von Zusammenschlüssen am österreichischen Versicherungsmarkt. Im Rahmen dieser Arbeit werden 14 Unternehmenszusammenschlüsse im Zeitraum 1996-2007 untersucht. Im ersten Abschnitt der Dissertation wird zunächst auf die theoretischen Grundlagen von Unternehmenszusammenschlüssen und danach auf die zur Messung des Zusammenschlusserfolges verwendeten Methoden eingegangen. Weiters wird ein strukturierter Literaturüberblick über häufig zitierte Untersuchungen gegeben. Im zweiten Abschnitt erfolgt die Datenanalyse sowie...
   

5. Gaining Insight With Recursive Partitioning Of Generalized Linear Models

   Rusch, Thomas; Zeileis, Achim
   Recursive partitioning algorithms separate a feature space into a set of disjoint rectangles. Then, usually, a constant in every partition is fitted. While this is a simple and intuitive approach, it may still lack interpretability as to how a specific relationship between dependent and independent variables may look. Or it may be that a certain model is assumed or of interest and there is a number of candidate variables that may non-linearily give rise to different model parameter values. We present an approach that combines generalized linear models with recursive partitioning that offers enhanced interpretability of classical trees as well as providing...
   

6. Gaining Insight With Recursive Partitioning Of Generalized Linear Models

   Rusch, Thomas; Zeileis, Achim
   Recursive partitioning algorithms separate a feature space into a set of disjoint rectangles. Then, usually, a constant in every partition is fitted. While this is a simple and intuitive approach, it may still lack interpretability as to how a specific relationship between dependent and independent variables may look. Or it may be that a certain model is assumed or of interest and there is a number of candidate variables that may non-linearily give rise to different model parameter values. We present an approach that combines generalized linear models with recursive partitioning that offers enhanced interpretability of classical trees as well as providing...