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

^*Corresponding author for this work

Publication: Scientific journal › Journal article › peer-review

Original language	English
Article number	105807
Journal	Computer Law & Security Review
Volume	49
DOIs	https://doi.org/10.1016/j.clsr.2023.105807
Publication status	Published - 2023

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@article{f6b21e2578a349db84dab96778387854,

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 = "10.1016/j.clsr.2023.105807",

language = "English",

volume = "49",

journal = "Computer Law & Security Review",

issn = "0267-3649",

publisher = "Elsevier Ltd.",

}

TY - JOUR

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 - 10.1016/j.clsr.2023.105807

DO - 10.1016/j.clsr.2023.105807

M3 - Journal article

SN - 0267-3649

VL - 49

JO - Computer Law & Security Review

JF - Computer Law & Security Review

M1 - 105807

ER -