Buyer Power In The Big Data And Algorithm Driven World: The Uber & Lyft Example

By Ignacio Herrera Anchustegui & Julian Nowag – 

This article explores how big data and algorithms may create new possibilities for unilateral anticompetitive behavior in the form of overbuying and “reverse rebates,” using as a case study the recent proceedings against Uber concerning its “Hell” program. The analysis provides us with the opportunity to re-explore traditional antitrust concepts, anchored on the purchasing of raw material, in the data and algorithm driven world. Our