Ratings-/Rankings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices

التفاصيل البيبلوغرافية
العنوان: Ratings-/Rankings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices
المؤلفون: Stefanie Schreiber, Daniel Baier, Aneta Rybicka, Marcin Pełka
المصدر: Data Science, Learning by Latent Structures, and Knowledge Discovery ISBN: 9783662449820
ECDA
بيانات النشر: Springer Berlin Heidelberg, 2015.
سنة النشر: 2015
مصطلحات موضوعية: German, COLA (software architecture), Data collection, Respondent, Econometrics, Economics, language, Choice based conjoint, Market simulation, Popularity, language.human_language, Conjoint analysis
الوصف: Nowadays, for market simulation in consumer markets with multi-attributed products, choice-based conjoint analysis (CBC) is most popular. The popularity stems—on one side—from the possibility to use online-panels for affordable data collection and—on the other side—from the possibility to estimate part worths at the respondent level using only few observations. However, a still open question is, whether this money- and time-saving approach provides the same or even better results than ratings-/rankings-based alternatives. An experiment with 787 students from Poland and Germany is used to answer this question: Cola preferences are measured using CBC as well as ratings-/rankings-based alternatives. The results are compared using the Multitrait-Multimethod Matrix for the estimated part worths and first choice hit rates for holdout choice sets. The experiment shows a superiority of CBC, but also important differences between Polish and German cola consumers that outweigh methodological differences.
ردمك: 978-3-662-44982-0
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d815ad75049fe4dd66947938b7cf1a56
https://doi.org/10.1007/978-3-662-44983-7_18
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........d815ad75049fe4dd66947938b7cf1a56
قاعدة البيانات: OpenAIRE