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This edited book, discusses thorough and wide-ranging theories and models associated with differing aspects of buyer behavior from a team of marketing experts. Combines conceptual and theoretical basics of marketing discipline. Part 1 focuses on Armstrong's views on the ideological and practical strategy of conducting research to substantiate concepts and a network of concepts that comprises a theory. Part 2 centers on the encompassing models of buyer behavior. Part 3 assimilates the extensive models of innovative behavior and adoption process. Part 4 consists of papers which provide models of consumer classification and market segmentation. Part 5 includes a theoretical analysis of the changes which are likely to emerge in buyer behavior theory and research.This Classic Book was originally published in 1974 by Harper and Row.Dr. Jagdish (Jag) N. Sheth is the Charles H. Kellstadt Professor of Marketing in the Goizueta Business School at Emory University. Prior positions, include the University of Southern California; the University of Illinois; the faculty of Columbia University; and, the Massachusetts Institute of Technology. Dr. Sheth is well known for his scholarly contributions in consumer behavior, relationship marketing, competitive strategy and geopolitical analysis.
This book is about marketing models and the process of model building. Our primary focus is on models that can be used by managers to support marketing decisions. It has long been known that simple models usually outperform judgments in predicting outcomes in a wide variety of contexts. For example, models of judgments tend to provide better forecasts of the outcomes than the judgments themselves (because the model eliminates the noise in judgments). And since judgments never fully reflect the complexities of the many forces that influence outcomes, it is easy to see why models of actual outcomes should be very attractive to (marketing) decision makers. Thus, appropriately constructed models can provide insights about structural relations between marketing variables. Since models explicate the relations, both the process of model building and the model that ultimately results can improve the quality of marketing decisions. Managers often use rules of thumb for decisions. For example, a brand manager will have defined a specific set of alternative brands as the competitive set within a product category. Usually this set is based on perceived similarities in brand characteristics, advertising messages, etc. If a new marketing initiative occurs for one of the other brands, the brand manager will have a strong inclination to react. The reaction is partly based on the manager's desire to maintain some competitive parity in the mar keting variables.