Marketing

This research examines how the reliance on emotional feelings as a heuristic influences the proposal of offers in negotiations. Results from three experiments based on the classic ultimatum game show that, compared to proposers who do not rely on their feelings, proposers who rely on their feelings make less generous offers in the standard ultimatum game, more generous offers in a variant of the game allowing responders to make counteroffers, and less generous offers in the dictator game where no responses are allowed.

We develop a model of customer channel migration and apply it to a retailer that markets over the Web and through catalogs. The model (1) identifies the key phenomena required to analyze customer migration, (2) shows how these phenomena can be modeled, and (3) develops an approach for estimating the model. The methodology is unique in its ability to accommodate heterogeneous customer responses to a large number of distinct marketing communications in a dynamic context.

This research models the dynamics of customer relationships using typical transaction data. Our proposed model permits not only capturing the dynamics of customer relationships but also incorporating the effect of the sequence of customer-firm encounters on the dynamics of customer relationships and the subsequent buying behavior. Our approach to modeling relationship dynamics is structurally different from existing approaches.

We propose a framework for designing adaptive choice-based conjoint questionnaires that are robust to response error. It is developed based on a combination of experimental design and statistical learning theory principles. We implement and test a specific case of this framework using Regularization Networks. We also formalize within this framework the polyhedral methods recently proposed in marketing.

In the intervening years since publication of the chapter "Affect and Consumer Behavior" (Cohen & Areni, 1991) in the Handbook of Consumer Behavior (Kassarjian & Robertson, 1991), research in consumer behavior dealing with affect has exploded, making it one of the field's central research topics. Within psychology more generally, Schimmack and Crites (2005) located 923 references to affect between 1960 and 1980 and 4,170 between 1980 and 2000.

Two Columbia Business School students have developed an idea for a shoe accessory. They believe that this product will sell and want to set up a company. What marketing-related questions should they address in order to increase their chance of success?

Michael Dwork and his team are developing a line of environmentally-friendly disposable dinnerware. They want to use conjoint analysis to determine consumers' preferences and willingness to pay. Would you modify their questionnaire in any way?

We identify gaps and propose several directions for future research in preference measurement. We structure our argument around a framework that views preference measurement as comprising three interrelated components: (1) the problem that the study is ultimately intended to address; (2) the design of the preference measurement task and the data collection approach; (3) the specification and estimation of a preference model, and the conversion into action. Conjoint analysis is only one special case within this framework.