Diffusion of Internet usage and proliferation of electronic commerce activities have forced many service companies to implement the online extensions and provide all or some services via high quality web sites. Therefore, determining the quality dimensions of their web sites and understanding...

Online retailers are on a consistent drive to increase on-time delivery and reduce customer lead-time. However, in reality, an increasing share of consumers place orders early. Such Advance Demand Information can be deployed strategically to reduce costs and improve the customer service...

To influence demand, some online retailers post messages (e.g., “5 units or less left in stock”) on their product pages to signal impending stockouts. These “scarcity” messages provide consumers “partial” inventory information, revealing only an upper bound on the number of units...

Since electronic services (e-services) are different from their traditional counterparts in many aspects, conventional service quality models remain insufficient to capture the perceived e-service quality concept. Therefore, the aim of this study is to develop a structural perceived e-service...

This paper investigates price differences between online and offline retail channels in the EU Digital Single Market. Using price and sales data for ten household appliances product categories sold both offline and online in 21 EU countries in 2009, and correcting for product characteristics, we...

We compare the private and social incentives for privacy when sellers can commit to transparent privacy policies that are understood by consumers. The purpose is to establish a baseline for how well markets perform when firms' privacy policies are common knowledge. In this setting, if the market...

Digital goods generate a large amount of consumer welfare but these welfare gains are not properly measured in existing macroeconomic measures. This chapter summarizes existing research on measuring consumer welfare from digital goods. Recent research suggests that massive online choice...

We develop and estimate a model of consumer search with spatial learning. Consumers make inferences from previously searched objects to unsearched objects that are nearby in attribute space, generating path dependence in search sequences. The estimated model rationalizes patterns in data on...