There are two main research traditions for analyzing market basket data that exist more or less independently from each other, namely exploratory and explanatory model types. Exploratory approaches are restricted to the task of discovering cross-category interrelationships and provide marketing...

The purpose of this study, which drew upon an implementation model of information technology to apply a systematic strategy for services innovations in Taiwan's retailing industry. The two major differences between the business model before and after importing an information system were as...

We examine the relationship between the prices paid by households and their shopping patterns measured in terms of shopping frequency and the range of stores visited. We use the TNS data which allows us to control for household heterogeneity. The main contribution of the paper is that we find...

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...

Either empty inventories or empty shelves can cause stock-outs in retailing. Both can occur independently from each other, entail different kinds of damages and thus call for different counter measures. As such a counter measure, this paper presents a method to detect empty shelves through...

This paper develops more accurate and robust baseline sales estimates (sales in the absence of price promotion) using a dynamic linear model (DLM) enhanced with a multiple structural change model (MSCM). We first discuss the value of utilizing aggregated (chain-level) vs. disaggregated...