DISRUPTIVE INCUMBENTS: PLATFORM COMPETITION IN AN AGE OF MACHINE LEARNING

被引:0
|
作者
Hemphill, C. Scott [1 ]
机构
[1] NYU, Sch Law, Law, New York, NY 10003 USA
关键词
SCHUMPETER;
D O I
暂无
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
Recent advances in machine learning have reinforced the competitive position of leading online platforms. This Essay identifies two important sources of platform rivalry and proposes ways to maximize their competitive potential under existing antitrust law. A nascent competitor is a threatening new entrant that, in time, might become a full-fledged platform rival. A platform's acquisition of a nascent competitor should be prohibited as an unlawful acquisition or maintenance of monopoly. A disruptive incumbent is an established firm-often another platform-that introduces fresh competition in an adjacent market. Antitrust enforcers should take a more cautious approach, on the margin, when evaluating actions taken by a disruptive incumbent to compete with an entrenched platform.
引用
收藏
页码:1973 / 2000
页数:28
相关论文
共 50 条
  • [1] Disruptive Innovations and Disruptive Assurance: Assuring Machine Learning and Autonomy
    Bloomfield, Robin
    Khlaaf, Heidy
    Conmy, Philippa Ryan
    Fletcher, Gareth
    COMPUTER, 2019, 52 (09) : 82 - 89
  • [2] Disruptive innovation by heterogeneous incumbents and economic growth: When do incumbents switch to new technology?✩
    Ohki, Kazuyoshi
    JOURNAL OF MATHEMATICAL ECONOMICS, 2023, 107
  • [3] Towards Evolutionary Machine Learning Comparison, Competition, and Collaboration with a Multi-Cloud Platform
    Salza, Pasquale
    Hemberg, Erik
    Ferrucci, Filomena
    O'reilly, Una-May
    PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCO'17 COMPANION), 2017, : 1263 - 1270
  • [4] Disruptive Innovation in Public Service Sectors: Ambidexterity and the Role of Incumbents
    Wood, Danielle
    Pfotenhauer, Sebastian
    Glover, Wiljeana
    Newman, Dava
    PROCEEDINGS OF THE 8TH EUROPEAN CONFERENCE ON INNOVATION AND ENTREPRENEURSHIP, VOL 2, 2013, : 669 - 676
  • [5] The Disruptive Power of Machine Learning and IoT in Automation Industry
    Bilgic, Attila M.
    2018 IEEE 12TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI), 2018, : 103 - 103
  • [6] Autonomic machine learning platform
    Lee, Keon Myung
    Yoo, Jaesoo
    Kim, Sang-Wook
    Lee, Jee-Hyong
    Hong, Jiman
    INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2019, 49 : 491 - 501
  • [7] The Machine Learning Management Platform
    Chen, Meiyu
    You, Xiangdong
    PROCEEDINGS OF 2017 8TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2017), 2017, : 739 - 742
  • [8] Data Platform for Machine Learning
    Agrawal, Pulkit
    Arya, Rajat
    Bindal, Aanchal
    Bhatia, Sandeep
    Gagneja, Anupriya
    Godlewski, Joseph
    Low, Yucheng
    Muss, Timothy
    Paliwal, Mudit Manu
    Raman, Sethu
    Shah, Vishrut
    Shen, Bochao
    Sugden, Laura
    Zhao, Kaiyu
    Wu, Ming-Chuan
    SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2019, : 1803 - 1816
  • [9] Disruptive Web Platform for Enhancing Learning Experiences Using NLP
    Mukesh, Kethe
    Manikanta, Nagulapati
    Rajeswari, Kotikala
    Kunta, Dhanush Kumar
    Kavitha, Ch
    2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [10] Machine-learning competition announced
    Erickson, J
    DR DOBBS JOURNAL, 1997, 22 (05): : 16 - 16