Advanced Marketing Research

Advanced Marketing Research

Author: Richard Bagozzi

Publisher: John Wiley & Sons

Published: 1994-07-19

Total Pages: 434

ISBN-13: 1557865493

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Advanced Marketing Research is a companion volume to Richard Bagozzi's Principles of Marketing Research. It is intended for students on advanced marketing research courses at the graduate and postgraduate levels and on executive programs. Each chapter begins with a historical development of the topical area before moving on to advanced issues and coverage of latest developments. To aid students learning, questions and exercises are included throughout.


Capital Formation in Belgium, 1900-1995

Capital Formation in Belgium, 1900-1995

Author: Michelangelo van Meerten

Publisher: Leuven University Press

Published: 2003

Total Pages: 420

ISBN-13: 9789058672551

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Based on the analysis of more than 35,000 company balance sheets, annual series of gross private investment have been constructed for 15 different sectors in Belgium between 1900 and 1995. The resulting data clearly show that the level of gross investment in the Belgian economy, expressed as a percentage of national income, was generally much lower than during the post world war two period. An international comparison demonstrates that Belgium usually invested far less than its major competitors. Moreover, the traditional coal and metal industries benefitted most of the investment effort instead of newer sectors like the chemical industry. Thus the present study contributes to explaining for the relatively poor growth performances of the Belgian economy prior to the 1960s.


Building Models for Marketing Decisions

Building Models for Marketing Decisions

Author: Peter S.H. Leeflang

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 642

ISBN-13: 146154050X

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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.