Evaluative conditioning is an important determinant of consumers’ likes and dislikes. Three experiments show that it can result from two types of learning. First, stimulus-stimulus (S – S) or referential learning allows a conditioned stimulus (e.g., a brand) to acquire valence by...

To comprehend the competitive structure of a market, it is important to understand the short-run and long-run effects of the marketing mix on market shares. A useful model to link market shares with marketing-mix variables, like price and promotion, is the market share attraction model. In this...

Wireless penetration and the Indian economy have grown significantly over the past few years, but how robust and sustainable is the adoption of wireless services and products? Several papers have discussed India as a wireless service and product market, and sometimes tried to assess quantitative...

One of the most important functions of a simultaneous equation model is prediction the values of endogenous variables given the values of the predetermined variables and a lot of work has been done to estimate the accuracy of such predictions. Hooper and Zellner (1961) obtained the covariance...

The euro area has faced a high number of monetary and policy changes in the recent past as a consequence of the European integration process and, naturally, these developments have important implications for portfolio diversification and asset pricing. Therefore, this paper concentrates on the...

For classification problems with ordinal attributes very often the class attribute should increase with each or some of the explaining attributes. These are called classification problems with monotonicity constraints. Classical decision tree algorithms such as CART or C4.5 generally do not...

Compact, multi-deep (3D), Automated Storage and Retrieval Systems (AS/RS) are becoming more common, due to new technologies, lower investment costs, time efficiency and compact size. Decision-making research on these systems is still in its infancy. We study a particular compact system with...

In this technical report , two new algorithms based upon frequent patterns are proposed. One algorithm is a classification method. The other one is an algorithm for target group selection. In both algorithms, first of all, the collection of frequent patterns in the training set is constructed....

We present a mathematical analysis of the long-run behavior of genetic algorithms that are used for modeling social phenomena. The analysis relies on commonly used mathematical techniques in evolutionary game theory. Assuming a positive but infinitely small mutation rate, we derive results that...

In this article, we demonstrate that a direct relation exists between the context of Japanese firms indicating relative distress and conditional return distribution properties. We map cross-sectional vectors with company characteristics on vectors with return feature vectors, using a fuzzy...