Discrete Choice Modeling In Marketing Research

Related Articles

There are 16 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Competitive strategy

The theory of business strategy stems from the need of managers to be able to counter the effects of external market forces. Without the tools needed to support it, firms may fall back on crisis management in reaction to unforeseen market forces. This article discusses competitive strategy, including discrete choice modeling.

Discrete choice modeling in pharmaceutical marketing research

This article discusses discrete choice modeling in pharmaceutical marketing research, including the difference between a conjoint study and a discrete choice study, what a discrete joint analysis does, validation and simulation, and limitations.

Conjoint evolves into discrete choice modeling

This article profiles discrete choice modeling which, unlike conjoint modeling, does not require pairing of all attributes. Therefore, unrealistic products are not produced. The respondent does not rate, sort or rank-order, but instead acts as if he or she is in the marketplace, selecting which product to buy.

Data Use: A good choice for choice modeling

Maximum difference scaling lets researchers present respondents with large numbers of choice options without making the process onerous. The article uses examples of a hotel loyalty program and restaurant menu optimization to show the technique in action.

Putting choice modeling to work for new product sales forecasting

The author discusses the differences between 21st-century choice modeling vs. old legacy forecasting systems and explains how choice modeling can offer a distinct advantage in being 3-D-compatible and simpler way to achieve more complete results.

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Recent Articles

Below are the 3 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Data Use: A look inside the choice-modeling toolbox

An overview of five common choice models employed in marketing research.

Putting choice modeling to work for new product sales forecasting

The author discusses the differences between 21st-century choice modeling vs. old legacy forecasting systems and explains how choice modeling can offer a distinct advantage in being 3-D-compatible and simpler way to achieve more complete results.

Data Use: A good choice for choice modeling

Maximum difference scaling lets researchers present respondents with large numbers of choice options without making the process onerous. The article uses examples of a hotel loyalty program and restaurant menu optimization to show the technique in action.