Suchergebnisse

Representing the information in a data set in a concise way is an important part of data analysis. A variety of multivariate statistical techniques have been developed for this purpose, such as k-means clustering and principal components analysis. These techniques are often based on the principles of segmentation (partitioning the observations into distinct groups) and dimension reduction (constructing a low-dimensional representation of a data set). However, such techniques typically make no statistical assumptions on the process that generates the data; as a result, the statistical significance of the results is often unknown. In this thesis, we incorporate the modeling principles of segmentation and dimension reduction into statistical models. We thus develop new models that can summarize and explain the information in a data set in a simple way. The focus is on dimension reduction using bilinear parameter structures and techniques for clustering both modes of a two-mode data matrix. To illustrate the usefulness of the techniques, the thesis includes a variety of empirical applications in marketing, psychometrics, and political science. An important application is modeling the response behavior in surveys with rating scales, which provides novel insight into what kinds of response styles exist, and how substantive opinions vary among respondents. We find that our modeling approaches yield new techniques for data analysis that can be useful in a variety of applied fields

A basic assumption in advertising is that brands become more well-liked after they were presented in positive contexts. This assumption is warranted because studies on 'evaluative conditioning' have demonstrated that when a brand is repeatedly presented together with positive affective stimuli (e.g., beautiful people, nature scenes, celebrity endorsers ), this results indeed in a long-lasting positive effect on the evaluation of the brand. This dissertation deals with the primary question of what is causing this change in attitudes. It is shown that there are at least two fundamentally different psychological processes that can cause this change in brand attitude. First, it is possible that through the establishment of memory associations between the brand and the positive affective stimuli, the brand becomes more positively evaluated (associative affect transfer). Second, it is also possible to transfer positive affect directly to the brand. In this case, affect 'rubs off' to the brand without the need to establish memory associations (direct affect transfer). The conditions under which affect transfer will be associative versus direct are identified. It is also demonstrated that achieving direct affect transfer carries distinct advantages for advertisers. With direct affect transfer - as opposed to associative affect transfer - the brand becomes immune to the negative effects of its endorsers falling from grace, to interference of the memory traces and to consumers' counter arguing strategies

For more than a decade, the European governments have focused their energy policies on creating one European competitive electricity market. Several regulations are introduced into the European electricity industries for this purpose: the energy firms have to unbundle the electricity networks from electricity generation and retail, and the consumers should be able to choose their electricity retailer. This thesis analyses which new governance structures emerged in the Dutch and French electricity industries as a result of these regulations for four types of electricity transactions: the network connection, network access, balancing and switching transactions. The parties in these electricity industries did not adopt a market, but hybrid forms of governance that remained extensively regulated. The efficiency of these new governance structures cannot be explained with the attributes of the transactions, as is proposed by transaction cost economics. This thesis therefore introduces the concept of adaptation into transaction cost economics. Adaptation is the adjustment by economic actors from one governance structure to another, and is characterized by three attributes: the identity of the future contracting party, the laterality of the adaption, and the type of response in the adaptation process. These attributes explain the governance transformations and the new governance structures in the two industries. Regulation continues to play a pervasive role in the liberalized electricity industries. It influences the attributes of the transactions, the new governance structures and the adaptation process

This dissertation aims to contribute to the literature about the quality of accounting information by investigating its interaction with institutional factors (i.e., their external environment) in which firms operate, such as industry and stock exchange. The research topics of this dissertation include the motivation of earnings management (chapter 2), the consequence of accounting frauds on the failure rate of IPO firms (chapter 3) and the effectiveness of actions taken by standard setters to improve the quality of accounting information (Chapter 4). Chapter 2 focuses on firms' industry environment and investigates whether industry valuation impacts management's decision to manage earnings. Chapter 3 has been devoted to examine the consequence of large scale earnings management or accounting scandals on the firm's external environment. Chapter 4 examines whether the uniform adoption of IFRS by EU countries in 2005 improves the quality of accounting information by investigating the changes in the quality of analyst forecasts