Consumer Behavior

This research examines how oral haptics (due to hardness/softness or roughness/smoothness) related to foods influence mastication (i.e., degree of chewing) and orosensory perception (i.e., orally perceived fattiness), which in turn influence calorie estimation, subsequent food choices, and overall consumption volume. The results of five experimental studies show that, consistent with theories related to mastication and orosensory perception, oral haptics related to soft (vs. hard) and smooth (vs. rough) foods lead to higher calorie estimations.

This research examines how core consumers of selective brands react when core users obtain access to the brand. Contrary to the view that non-core users and downward brand extensions pose a threat to the brand, this work investigates the conditions under which these non-core users enhance rather than dilute the brand image.

In the classic certainty multiperiod, multigood demand problem, suppose preferences for current and past period consumption are separable from consumption in future periods. Then optimal demands can be determined from the standard two stage budgeting process, where optimal current period demands depend only on current and past prices and current period expenditure. Unfortunately this simplification does not significantly reduce the informational requirements for the decision maker since in general the expenditure is a function of future prices.

This research examines how people react to nonconforming behaviors, such as entering a luxury boutique wearing gym clothes rather than an elegant outfit or wearing red sneakers in a professional setting. Nonconforming behaviors, as costly and visible signals, can act as a particular form of conspicuous consumption and lead to positive inferences of status and competence in the eyes of others. A series of studies demonstrates that people confer higher status and competence to nonconforming rather than conforming individuals.

Mobile advertising is one of the fastest-growing advertising formats. In 2013, global spending on mobile advertising was approximately $16.7 billion and it is expected to exceed $62.8 billion by 2017. The most prevalent type of mobile advertising is mobile display advertising (MDA), which takes the form of banners on mobile webpages and in mobile applications. This paper examines which product characteristics are likely to be associated with MDA campaigns that are effective in increasing consumers' favorable attitudes towards products and purchase intentions.

Advertising supported content sampling is ubiquitous in online markets for digital information goods. Yet, little is known about the profit impact of sampling when it serves the dual purpose of disclosing content quality and generating advertising revenue. This paper proposes an analytical framework to study the optimal content strategy for online publishers and shows how it is determined by characteristics of both the content market and the advertising market.

To date the effectiveness of inducing lower-calorie choices by providing consumers with calorie information has yielded mixed results. Here four controlled experiments show that adding dish-specific calorie information to menus (calorie posting) tends to result in lower-calorie choices. However, additionally grouping low-calorie dishes into a single "low-calorie" category (calorie organizing) ironically diminishes the positive effects of calorie posting. This outcome appears to be caused by the effect that grouping low-calorie options has on consumers' consideration sets.

We model the multifaceted impact of pricing decisions in B2B contexts and show how a seller can develop optimal inter-temporal targeted pricing strategies to maximize long-term customer value. We empirically model the B2B customer's purchase decisions in an integrated fashion. In order to facilitate targeting and to capture the short and long-term dynamics of B2B customer purchasing, our modeling framework weaves together in a hierarchical Bayesian manner, multivariate copulas, a non-homogeneous hidden Markov model, and control functions for price endogeneity.