In today's online environment, consumers and sellers interact through multiple channels such as email, search engines, banner ads, affiliate websites and comparison-shopping websites. In this paper, we investigate whether knowing what channels a consumer used on their path until a point of time...

Shoppers of multi-channel retailers often place orders using different channels on different shopping occasions. The differential use of channels is related to both basket composition and channel characteristics, such as the ability of the channel to provide additional information that resolves...

This research develops an assurances framework to assess the effect of a seller's feedback “reputation” on the closing price of an online auction. The framework treats bidders as if they were ‘intuitive statisticians' in their use of reputation cues. The framework leads to hypotheses about...

In collaboration with an online seller of home-improvement products, we conduct a large-scale randomized field experiment to study the effects of retargeted advertising – a form of internet advertising in which banner ads are displayed to users after they visit the advertiser's web site. We...

Abstract We investigate the cross channel effects of search engine advertising on Google.com on sales in brick and mortar retail stores. Obtaining causal and actionable estimates in this context is challenging: Brick and mortar store sales vary widely on a weekly basis; offline media dominate...

Using a multi-year field experiment, we demonstrate several unique characteristics of advertising high-involvement products to businesses. Specifically, we randomize the delivery of digital display ads for electronics components produced by a semiconductor company that offers a new technology....

We propose an approach for deriving joint space maps of bundle compositions and market segments from three-way (e.g., consumers x product options/benefits/features x usage situations/scenarios/time periods) pick-any/J data. The proposed latent structure multidimensional scaling procedure...

A mixture model approach is developed that simultaneously estimates the posterior membership probabilities of observations to a number of unobservable groups or latent classes, and the parameters of a generalized linear model which relates the observations, distributed according to some member...

A latent class model for identifying classes of subjects in paired comparison choice experiments is developed. The model simultaneously estimates a probabilistic classification of subjects and the logit models' coefficients relating characteristics of objects to choices for each respective group...

A number of studies have applied non-market valuation techniques to measure the value of cultural goods. Virtually all of these studies are single case applications and rely mostly on stated preferences, such as contingent valuation techniques. We compare the relative value of multiple,...