Preference Analysis and Default Optimization in Web-based Product Configuration Systems

• Autores: Reinhold Decker, Sören W. Scholz
• Localización: Journal of Theoretical and Applied Electronic Commerce Research, ISSN-e 0718-1876, Vol. 4, Nº. 3, 2009, págs. 43-57
• Idioma: inglés
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• Resumen

  • 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 preferencebased 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.