The growth of the Internet has spawned an increasing number of online information sources (OISs). The effect of OISs on consumer information search processes has been particularly striking in sectors such as auto retailing, where the typical consumer has conventionally confronted an unpleasant...

This paper focuses on a novel mechanism for market segmentation and price discrimination based on consumers' use of online infomediaries. Using the auto-retailing context as the setting for our study we address the following question: Can online infomediaries serve as a viable mechanism for...

The Internet enables sellers to offer products through multiple channels simultaneously. In particular, many sellers utilize online auctions in parallel to other online and offline channels. Using an analytical model and data from eBay Motors, we study seller behavior and auction outcomes in the...

Purpose: Consumer adoption of online shopping continues to increase each year. At the same time, online retailers face intense competition and few are profitable. This suggests that businesses and researchers still have much to learn regarding key antecedents of online shopping adoption and...

The explosive growth of mobile devices and their widespread acceptance by customers along with the potential benefits of autoID technologies have prompted retailers to consider adoption of emerging technologies. Their motives are to enhance in-store customer shopping experience and to acquire...

The primary objective of this paper is to develop a theoretical model for predicting purchase behavior in electronic channels. We employ web site use (i.e., technology use behavior), a key indicator of the degree to which a site is “sticky” in that it attracts users often and retains them...