Ein empirischer Validitätsvergleich zwischen adaptive self-explicated approach (ASE), pairwise comparison-based preference measurement (PCPM) und adaptive conjoin analysis (ACA)

Martin Meissner, Reinhold Decker, Nadine Adam

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Abstrakt

The increasing complexity of many products makes high demands on methods used for measuring consumer preferences. In such cases, practitioners frequently use Adaptive Conjoint Analysis (ACA). However, compositional approaches also proved to be efficient. Recently, Srinivasan and Netzer (2011) suggested a promising compositional technique called the Adaptive Self-Explicated Approach (ASE), which significantly outperformed ACA regarding its predictive validity. Another advantageous approach, called Pairwise Comparison-based Preference Measurement (PCPM), was introduced by Scholz et al. (2010). This paper contrasts the popular ACA with these two new compositional approaches and discusses the validity results of an empirical study
in the leisure industry. For two out of three criteria PCPM partly leads to a significantly higher predictive validity and a halving of the survey time.
OriginalsprogEngelsk
TidsskriftZeitschrift für Betriebswirtschaft
Vol/bind81
Udgave nummer4
Sider (fra-til)423-446
StatusUdgivet - 2011
Udgivet eksterntJa

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