Titlebook: Conjoint Measurement; Methods and Applicat Anders Gustafsson,Andreas Herrmann,Frank Huber Book 2007Latest edition Springer-Verlag Berlin He

concession

书目名称Conjoint Measurement影响因子(影响力)




书目名称Conjoint Measurement影响因子(影响力)学科排名




书目名称Conjoint Measurement网络公开度




书目名称Conjoint Measurement网络公开度学科排名




书目名称Conjoint Measurement被引频次




书目名称Conjoint Measurement被引频次学科排名




书目名称Conjoint Measurement年度引用




书目名称Conjoint Measurement年度引用学科排名




书目名称Conjoint Measurement读者反馈




书目名称Conjoint Measurement读者反馈学科排名

Itinerant

Measurement of Price Effects with Conjoint Analysis: Separating Informational and Allocative Effect). Usually this is be done by describing a number of product alternatives on a small number of attributes, including price, and collecting some kind of preference data for these product alternatives. From the estimated part-worth function for price one can infer price effects (Srinivasan 1979).

conduct

ARIA

A Comparison of Conjoint Measurement with Self-Explicated Approaches,imate that about 400 commercial applications were carried out per year during the early 1980s. In the 1990s this number probably exceeds 1000. The popularity of conjoint measurement appears to derive, at least in part, from its presumed superiority in validity over simpler, less expensive techniques

CHANT

Non-geometric Plackett-Burman Designs in Conjoint Analysis,er. Conjoint analysis shares the same theoretical basis as traditional design of experiments, but was originally used within the field of psychology and it was not until the early 1970s that the methodology was introduced into marketing research to form what is called conjoint analysis (Luce and Tuk

Microgram

On the Influence of the Evaluation Methods in Conjoint Design - Some Empirical Results,es of various product concepts (both real and hypothetical) are created, and these are presented to test persons for evaluation. The contributions (partial benefits) the various attributes make to overall preference (overall benefit) are estimated on the basis of overall preference judgments (Green

Microgram

Evolutionary Conjoint,igated in a large number of studies, it still remains ambiguous due to its unobservability and lack of an absolute scale unit (Teichert 2001a: 26): Whereas utility is praised as a quantitative indicator of consumer behavior, only preference judgments can be observed. These judgments contain error te

合同

Stagger

Conjoint Preference Elicitation Methods in the Broader Context of Random Utility Theory Preference tent with the Random Utility Theory (RUT) paradigm. This allows us to accomplish the following objectives: explain how random utility theory provides a level playing field on which to compare preference elicitation methods, and why virtually all conjoint methods can be treated as a special case of a

Bmd955