[Autom. eng. transl.] The constant technological and digital evolution has allowed companies to equip themselves with increasingly advanced tools to collect and analyze so-called big data - a vast set of detailed information relating to consumer behavior. Certain risk factors are found in the face of clear advantages for businesses that are able to perfect their tools for forecasting final demand, and consumers, who can now benefit from goods and services that best meet their needs. In particular, more detailed and widespread information regarding consumer preferences can allow businesses to engage in price discrimination to their advantage. From an economic point of view, it is a practice that assumes anticompetitive effects when it facilitates the creation and sustainability of a collusive agreement. Although it is not possible to define a priori the impact of greater public or private information on the sustainability of a collusive agreement, but a case-by-case evaluation - so-called rule of reason - is necessary, some conclusions can be drawn regarding the exchange of information between companies rivals. This article explains, through economic theory, the close link between big data and collusion, demonstrating how the exchange of private information can make, when certain conditions apply, the creation of an agreement between competing companies more difficult, contrary to what frequently believed.
|Translated title of the contribution||[Autom. eng. transl.] Big Data Collection and Sharing: What Effects on Collusion?|
|Number of pages||22|
|Journal||MERCATO CONCORRENZA REGOLE|
|Publication status||Published - 2019|
- big data