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Multicriterion Clusterwise Regression for Joint Segmentation Settings: An Application to Customer Value
The authors present a multicriterion clusterwise linear regression model that can be applied to a joint segmentation setting. The model enables the consideration of segment homogeneity, as well as multiple dependent variables (segmentation bases), in a weighted objective function. The authors propose a heuristic solution strategy based on simulated annealing and examine trade-offs in the recovery of multiple true cluster structures for several synthetic data sets. They also propose an application of the model to a joint segmentation problem in the telecommunications industry, which addresses important issues pertaining to the selection of the objective function weights and the number of clusters.
Ketersediaan
| Call Number | Location | Available |
|---|---|---|
| JM4002 | PSB lt.dasar - Pascasarjana | 1 |
| Penerbit | Chicago: American Marketing Association 2003 |
|---|---|
| Edisi | Vol. 40, No. 2 (May, 2003), pp. 225-234 |
| Subjek | Market segmentation Customer value Journal of marketing research Multicriterion clusterwise regression |
| ISBN/ISSN | 0022-2437 |
| Klasifikasi | NONE |
| Deskripsi Fisik | 10 p. |
| Info Detail Spesifik | Journal of Marketing |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas |