In the digital age, retail store operations face a variety of novel challenges and complexities.
We review 255 papers on retail store operations from 32 operations research, management …

Advancing value creation has gained momentum in recent years due to the dramatic growth
of data-driven marketing analytics. As such, there is an ever-growing surge both in …

As a research domain, the retail sector has always had many appealing features, such as its
size, its multi-faceted and dynamic nature, the possibility for researchers to exploit their own …

The marketing literature uses regression models based on observational data for causal
inferences. Endogeneity issues are a threat to inferring causal effects. Endogeneity—the …

To compete in today's omni-channel business context, it is essential for firms to co-ordinate
their activities across channels and across different stages of the customer journey and the …

This chapter provides a nontechnical summary of how to deal with endogeneity in
regression models for marketing research applications. When researchers want to make …

Association rule mining is one of the most popular data mining methods. However, mining
association rules often results in a very large number of found rules, leaving the analyst with …

What does the future hold for retailers? Certainly, many eras previous to the big-data and
pandemic eras have come and gone and that same question could raise anxiety among …

The authors propose a new, exploratory approach for analyzing market structures that
leverages two recent methodological advances in natural language processing and …

The authors study the consequences of rebranding multiple category-specific private-label
(PL) brands by “opening the umbrella” and unifying them under a common brand name …