Consumer Behavior

Anchoring refers to a biased judgment on a stimulus based on the initial assessment of another stimulus and the insufficient adjustment away from that initial assessment. Previous research indicates that anchoring seems to be a general phenomenon, underlying a wide variety of processing strategies (Epley and Gilovich 2001; Johnson and Puto 1987; Tversky and Kahnemann 1974). Every time when individuals form an impression or an image about a stimulus while another stimulus is present, these impressions may be subject to anchoring effects.

The universality of design perception and response is tested using data collected from 10 countries: Argentina, Australia, China, Germany, Great Britain, India, The Netherlands, Russia, Singapore, and the United States. A Bayesian, finite-mixture, structural equation model is developed that identifies latent logo clusters while accounting for heterogeneity in evaluations. The concomitant variable approach allows cluster probabilities to be country specific.

Over the past few years, firms in the travel and entertainment industries have begun using novel sales strategies for revenue management. In this chapter, we study a selling strategy called opaque selling, in which firms guarantee one of several fully specified products, but hide the identity of the product that the consumer will actually obtain until after the purchase is completed. Several firms such as Hotwire, Priceline, and Mystery Flights engage in opaque selling of travel products. The academic literature in this area is recent and evolving.

In many industries, firms consider the option of outsourcing an important service process associated with the goods or services they bring to the market. Often, competing firms outsource this service process to one or more common service suppliers. When they outsource to a common service provider, this gives rise to a service supply chain.

Nearly every decision a person makes is restricted in some way. While we are painfully aware of some of these restrictions, others go largely undetected. This paper presents a conceptual framework for understanding how restrictions interact with situational and individual characteristics, as well as goals to influence behavior. Implications for overlooked research opportunities in choice modeling are presented and discussed.

What is the effect of option categorization on choosers' satisfaction? A combination of field and laboratory experiments reveals that the mere presence of categories, irrespective of their content, positively influences the satisfaction of choosers who are unfamiliar with the choice domain. This "mere categorization effect" is driven by a greater number of categories signaling greater variety amongst the available options, which allows for a sense of self-determination from choice.

We investigate the effects of babyfaceness on the trustworthiness and judgments of a company's chief executive officer in a public relations crisis. Experiment 1 demonstrates boundary conditions for the babyfaceness-honesty trait inference and its influence on company evaluations. Experiment 2 shows that trait inferences of honesty are drawn spontaneously but are corrected in the presence of situational evidence (a severe crisis) if cognitive resources are available.

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.