Preference analysis and default optimization in web-based product configuration systems

Authors:
Reinhold Decker;Sören W. Scholz
Affiliations:
Bielefeld University, Business Administration and Economics;Bielefeld University, Business Administration and Economics
Venue:
Journal of Theoretical and Applied Electronic Commerce Research
Year:
2009

Citing 5
Cited 0

A disaggregate negative binomial regression procedure for count data analysis

Management Science
An introduction to genetic algorithms

An introduction to genetic algorithms
Thirty years of conjoint analysis: reflections and prospects

Interfaces - Special issue: marketing engineering
Shifting Innovation to Users via Toolkits

Management Science
Research Note: User Design of Customized Products

Marketing Science

Quantified Score

Hi-index	0.00

Visualization

Abstract

Today, more and more companies are providing web-based product configuration systems in order to better meet individual customer preferences. In many cases, pre-defined product specifications are additionally offered to facilitate the corresponding choice decisions. Against this background, we present a Poisson regression approach for analyzing customer preferences and a genetic algorithm for determining preference-based default products. The basis for this is transaction data, as they are automatically generated when configuring a product online. The potentials of the suggested methodology are demonstrated by means of two case studies referring to different product categories.