Publicação
Algorithms: the end of traditional competitive markets? the case of partneo
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Hoernig, Steffen | |
| dc.contributor.author | Matos, Catarina Corrêa Mendes Correia de | |
| dc.date.accessioned | 2019-04-30T15:46:54Z | |
| dc.date.available | 2019-04-30T15:46:54Z | |
| dc.date.issued | 2019-01-14 | |
| dc.description.abstract | This thesis analyses how the development of machine learning and pricing algorithms is affecting competition between undertakings by facilitating collusive behaviours and how this issue should be addressed by competition authorities. Combining the insights given by the existent literature on the topic with the analyse of the recent case of Partneo, findings suggest that algorithms are indeed changing the competitive landscape. Although current EU law can deal with some cases, others fall out of its reach. The boundaries of competition law are strongly challenged on the case of Partneo in which carmakers were able to increase their revenues by over one billion dollars by using a sophisticated pricing software. The use of this algorithm leads to a parallel price increase of spare car parts on the aftermarket, which significantly harms “lock in” customers. In addition, the use of Partneo also affects the competition on the primary market as it creates incentives for dominant firms to decrease prices to capture more market share. | pt_PT |
| dc.identifier.tid | 202224414 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/68140 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Algorithmic collusion | pt_PT |
| dc.subject | Competition | pt_PT |
| dc.subject | Regulation | pt_PT |
| dc.subject | Partneo | pt_PT |
| dc.title | Algorithms: the end of traditional competitive markets? the case of partneo | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics | pt_PT |