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Modeling behavioral regularities of consumer learning in conjoint analysis
In this article, the authors address the comments on their article "A Learning-Based Model for Imputing Missing Levels in Partial Conjoint Profiles," and they extend their work in several ways. First, the authors present some alternative specifications to their original imputation model in which the probability that a particular level is imputed is a function of the partworth itself and/or of the value given to an attribute level. Second, they extend their original model to allow both for attributes with more than two levels and for a more general imputation model with distance metrics beyond binary matching. Third, the authors provide a real-world example for the application of their work in industry practice. Finally, they discuss some issues that empirical modelers face when they bring behavioral regularities into mathematical models, specifically the necessity of a specific alternative formulation and the ability to represent it in a parametric way..Printed Journal
Ketersediaan
| Call Number | Location | Available |
|---|---|---|
| PSB lt.dasar - Pascasarjana | 1 |
| Penerbit | : American Marketing Association |
|---|---|
| Edisi | - |
| Subjek | Mathematical models Market research Conjoint analysis studies |
| ISBN/ISSN | 222437 |
| Klasifikasi | - |
| Deskripsi Fisik | - |
| Info Detail Spesifik | - |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas | Tidak Ada Data |