DISCRETE CHOISE ANALYSIS AS A TOOL IN MARKETING RESEARCH AND ITS IMPLEMENTATION IN THE SAS SYSTEM
Abstract
Discrete choice modeling, a somewhat newer technique in preference structure modeling of marketing research than
conjoint analysis. This model differs in that consumers are asked to view a series of competing products and select one. In this
regard, it is based on a move realistic task that consumers perform every day: the task of choosing a product from among a group
of competitor. Discrete choice models can be used to perform powerful and complex simulation of marketplace for an entire
product or service category. The impact of price change and product enchangments on brand shares can be simulated before they
are implemented, as can the effects of potential competitive response to these action. Futher, discrete choice models are much
better than conjoint analysis at duplicating the interactions between different characteristics of a product or service. We use
PHREG procedure in the SAS system to estimate the dicrete choice model.
conjoint analysis. This model differs in that consumers are asked to view a series of competing products and select one. In this
regard, it is based on a move realistic task that consumers perform every day: the task of choosing a product from among a group
of competitor. Discrete choice models can be used to perform powerful and complex simulation of marketplace for an entire
product or service category. The impact of price change and product enchangments on brand shares can be simulated before they
are implemented, as can the effects of potential competitive response to these action. Futher, discrete choice models are much
better than conjoint analysis at duplicating the interactions between different characteristics of a product or service. We use
PHREG procedure in the SAS system to estimate the dicrete choice model.
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PDF (Bahasa Indonesia)DOI: https://doi.org/10.29313/jstat.v3i1.569
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