Ready or not? A systematic review of case studies using data-driven approaches to detect real-world antitrust violations

^*Korrespondierende*r Autor*in für diese Arbeit

Publikation: Wissenschaftliche Fachzeitschrift › Originalbeitrag in Fachzeitschrift › Begutachtung

Originalsprache	Englisch
Aufsatznummer	105807
Fachzeitschrift	Computer Law & Security Review
Jahrgang	49
DOIs	https://doi.org/10.1016/j.clsr.2023.105807
Publikationsstatus	Veröffentlicht - 2023

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title = "Ready or not? A systematic review of case studies using data-driven approaches to detect real-world antitrust violations",

author = "J{\"u}rgen Flei{\ss} and Jan Amthauer and Franziska Guggi and Robertson, {Viktoria H.S.E.}",

year = "2023",

doi = "https://doi.org/10.1016/j.clsr.2023.105807",

language = "English",

volume = "49",

journal = "Computer Law & Security Review",

issn = "0267-3649",

publisher = "Elsevier Ltd.",

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T1 - Ready or not? A systematic review of case studies using data-driven approaches to detect real-world antitrust violations

AU - Fleiß, Jürgen

AU - Amthauer, Jan

AU - Guggi, Franziska

AU - Robertson, Viktoria H.S.E.

PY - 2023

Y1 - 2023

U2 - https://doi.org/10.1016/j.clsr.2023.105807

DO - https://doi.org/10.1016/j.clsr.2023.105807

M3 - Journal article

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VL - 49

JO - Computer Law & Security Review

JF - Computer Law & Security Review

M1 - 105807

ER -