Consumer Behavior

The massive costs of health care ($1.7 trillion and counting) and the problems posed by various diseases (e.g., AIDS, obesity, diabetes, cancer, heart disease, mental illness) are well known and documented. People worry more about their personal health care costs than losing their jobs, being a victim of a violent crime, or terrorist attacks. As a consequence, massive efforts to improve knowledge about detection, prevention, and treatment have been undertaken. In addition, there is growing realization that health communication strategies need to be tailored to specific segments.

Perhaps because of its importance, brand performance has been approached in several different ways by several different researchers employing several different measures. Lehmann, Keller, and Farley examine a broad range of these measures to explore their overlap and to uncover core underlying dimensions and the structure of brand performance metrics that balance parsimony and completeness. They also examine how different dimensions of brand performance and profiles of leading brands vary by country (i.e., the United States and China).

Product discussion boards are a rich source of information about consumer sentiment about products, which is being increasingly exploited. Most sentiment analysis has looked at single products in isolation, but users often compare different products, stating which they like better and why. We present a set of techniques for analyzing how consumers view product markets. Specifically, we extracted relative sentiment analysis and comparisons between products, to understand what attributes users compare products on, and which products they prefer on each dimension.

In this paper, we examine the pattern of correlation among consumer price sensitivities for customer purchase incidence decisions across complementary product categories. We use a hierarchical Bayesian multivariate probit model to uncover this pattern. We estimated this model using purchase incidence data for six categories involving three pairs of complementary products.

In many services (e.g., the wireless service industry), consumers choose a service plan according to their expected consumption. In such situations, consumers experience two forms of uncertainty. First, they may be uncertain about the quality of their service provider and can learn about it after repeated use of the service. Second, they may be uncertain about their own usage of minutes and learn about it after observing their actual consumption.

Previous studies of cultural consumption have found a significant but weak relationship between expert judgment (EJ) and popular appeal (PA) and have suggested that this little taste phenomenon reflects a mediating role played by ordinary evaluation (OE) in diluting the association between EJ and PA. However, various weaknesses in this work have involved problems with sequential timing, nonindependence of measurements, and contamination by market(ing)-related influences.

In recent years, product discussion forums have become a rich environment in which consumers and potential adopters exchange views and information. Researchers and practitioners are starting to extract user sentiment about products from user product reviews. Users often compare different products, stating which they like better and why.

This paper proposes that customers often respond to brand extension concepts by visualizing the product. We call this process spontaneous visualization and suggest that it precedes concept evaluations. In two studies, we show that spontaneous visualization is enhanced by the fit between the parent brand and the extension category and by the ease with which the product category can be imagined. The appeal of the visualized image in turn determines whether visualization enhances or decreases concept evaluations.

Following a successful idea generation exercise, a company might easily be left with hundreds of ideas, generated by experts, employees, or consumers. The next step is to screen these ideas, and identify those with the highest potential. In this paper we propose a practical approach to involving consumers in idea screening. Although the number of ideas may potentially be very large, it would be unreasonable to ask each consumer to evaluate more than a few ideas. This raises the challenge of efficiently selecting the ideas to be evaluated by each consumer.