Behavioral market segmentation of binary guest survey data with bagged clustering

Dolnicar, Sara and Leisch, Friedrich (2001) Behavioral market segmentation of binary guest survey data with bagged clustering. Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science", 61. SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, Vienna.

[img]
Preview
PDF
document.pdf

Download (156kB)

Abstract

Binary survey data from the Austrian National Guest Survey conducted in the summer season of 1997 were used to identify behavioral market segments on the basis of vacation activity information. Bagged clustering overcomes a number of difficulties typically encountered when partitioning large binary data sets: The partitions have greater structural stability over repetitions of the algorithm and the question of the "correct" number of clusters is less important because of the hierarchical step of the cluster analysis. Finally, the bootstrap part of the algorithm provides means for assessing and visualizing segment stability for each input variable. (author's abstract)

Item Type: Paper
Keywords: Österreich / Marktsegmentierung / Fremdenverkehr / Cluster-Analyse
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Produktionsmanagement > Taudes
Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Departments > Marketing > Service Marketing und Tourismus
Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Depositing User: Repository Administrator
Date Deposited: 08 Mar 2002 13:17
Last Modified: 22 Oct 2019 00:41
URI: https://epub.wu.ac.at/id/eprint/88

Actions

View Item View Item

Downloads

Downloads per month over past year

View more statistics