A method to generate hypotheses on consumer payment behavior from market basket data is presented with which retailers can predict future cash requirements. This could help retailers to minimize the costs of cash management through rationalization and may also encourage the introduction of new...

This paper describes two new datasets available to academic researchers. The first is a panel dataset containing the transactions of 19,936 households made over the period from December 1998 to November 2004 at a major U.S. consumer electronics retailer. There are a total of 173,262...

This paper provides a comprehensive study of the structure and dynamics of online advertising markets, mostly based on techniques from the emergent discipline of complex systems analysis. First, we look at how the display rank of a URL link influences its click frequency, for both sponsored...

Why do consumers value shopping online? We decompose the value of e-commerce to individual consumers and highlight the role of convenience, i.e., the avoidance of transportation costs. We complement household purchase panel data with precise locations of consumers and stores, and show that...

In retail settings with price promotions, consumers often search across stores and time. However the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across time, but not search across...

Intense competition in the retail sector in Hungary requires the better understanding of consumer store choice. Our objectives were to identify the significant influencers of consumer satisfaction and the purchasing power (basket size), and to analyze the potential relationship between...

The purpose of this paper is to investigate the impact of the use of Artificial Intelligence in retail on buying and consumer behavior, better understanding how consumers perceive Artificial Intelligence on the path to the Next Normal. The consumer-technology partnership is confirming the...

In response to price dispersion across stores and price promotions over time, consumers search across both stores and time, in many retail settings. Yet there is no search model in extant research that jointly endogenizes search in both dimensions. We develop a model of search across stores and...

9-ending prices are a dominant feature of many retail settings, which according to the existing literature, is because consumers perceive them as being relatively low. Are 9-ending prices really lower than comparable non 9-ending prices? Surprisingly, the empirical evidence on this question is...

In response to price dispersion across stores and price promotions over time, consumers search across both stores (spatial) and time (temporal), in many retail settings. Yet there is no search model in extant research that jointly endogenizes search in both dimensions. We develop a model of...