| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Pinna, Luigi | |
| dc.contributor.author | Mercuri, Giacomo | |
| dc.date.accessioned | 2022-12-07T01:01:18Z | |
| dc.date.available | 2022-12-07T01:01:18Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/43289 | |
| dc.description.abstract | This research is aimed at exploring how data-driven companies have become so dominant in the tech industry, often thanks to the effects of market failures; in particular, how their growth has been fostered by Network Effects and Asymmetric Information. The main question addresses the benefits that data-driven companies profited from market failures; the two complementary questions are aimed to explore how to determine a ‘real’ economic value of users’ personal data and a 'freemium' price model. | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | This research is aimed at exploring how data-driven companies have become so dominant in the tech industry, often thanks to the effects of market failures. | |
| dc.title | Market failures and economic theory, an insight on their effects on data-driven companies. | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | data-driven companies; market failures; asymmetric information; economic value of data; Freemium pricing model | |
| dc.subject.courseuu | Business and Social Impact | |
| dc.thesis.id | 12438 | |
