We provide the first empirical analysis of the relationship between algorithmic pricing (AP)
and competition by studying the impact of adoption in Germany's retail gasoline market …

The blockchain is essentially a shared database, and the data stored is unforgeable, open
and transparent, which may allow the retailers adopting the blockchain technology to attract …

We study personalized pricing in a general oligopoly model. The impact of personalized
pricing relative to uniform pricing hinges on the degree of market coverage. If market …

This paper studies the effects of the EU's General Data Protection Regulation (GDPR) on the
ability of firms to collect consumer data, identify consumers over time, accrue revenue via …

We study the welfare implications of personalized pricing implemented with machine
learning. We use data from a randomized controlled pricing field experiment to construct …

We study the implications of aggregating consumers' purchase histories into scores that
proxy for unobserved willingness to pay. A long-lived consumer interacts with a sequence of …

Purpose This paper aims to assess the readiness of retail workers to use blockchain
technology (BCT) to improve supply chain performance. The assessment was made via a …

This paper studies the effects of the EU's General Data Protection Regulation (GDPR) on the
ability of firms to collect consumer data, identify consumers over time, accrue revenue via …

Recent data technology innovations, such as artificial intelligence and machine learning,
have transformed the production of knowledge and increased the importance of data. This …

We explore the power that precise information about consumers' preferences grants an
intermediary in sha** competition. We think of an intermediary as an information designer …