Coopetition Against an Amazon

Ronen Gradwohl; Moshe Tennenholtz

doi:10.1007/978-3-031-15714-1_20

Coopetition Against an Amazon

Ronen Gradwohl
, Moshe Tennenholtz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper studies cooperative data-sharing between competitors vying to predict a consumer’s tastes. We design optimal data-sharing schemes both for when they compete only with each other, and for when they additionally compete with an Amazon—a company with more, better data. We show that simple schemes—threshold rules that probabilistically induce either full data-sharing between competitors, or the full transfer of data from one competitor to another—are either optimal or approximately optimal, depending on properties of the information structure. We also provide conditions under which firms share more data when they face stronger outside competition, and describe situations in which this conclusion is reversed.

Original language	English
Title of host publication	Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings
Editors	Panagiotis Kanellopoulos, Maria Kyropoulou, Alexandros Voudouris
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	347-365
Number of pages	19
ISBN (Print)	9783031157134
DOIs	https://doi.org/10.1007/978-3-031-15714-1_20
State	Published - 2022
Externally published	Yes
Event	15th International Symposium on Algorithmic Game Theory, SAGT 2022 - Colchester, United Kingdom Duration: 12 Sep 2022 → 15 Sep 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13584 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Symposium on Algorithmic Game Theory, SAGT 2022
Country/Territory	United Kingdom
City	Colchester
Period	12/09/22 → 15/09/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-15714-1_20

Cite this

Gradwohl, R., & Tennenholtz, M. (2022). Coopetition Against an Amazon. In P. Kanellopoulos, M. Kyropoulou, & A. Voudouris (Eds.), Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings (pp. 347-365). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Vol. 13584 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15714-1_20

Gradwohl, Ronen ; Tennenholtz, Moshe. / Coopetition Against an Amazon. Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings. editor / Panagiotis Kanellopoulos ; Maria Kyropoulou ; Alexandros Voudouris. Springer Science and Business Media Deutschland GmbH, 2022. pp. 347-365 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ).

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Gradwohl, R & Tennenholtz, M 2022, Coopetition Against an Amazon. in P Kanellopoulos, M Kyropoulou & A Voudouris (eds), Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 13584 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 347-365, 15th International Symposium on Algorithmic Game Theory, SAGT 2022, Colchester, United Kingdom, 12/09/22. https://doi.org/10.1007/978-3-031-15714-1_20

Coopetition Against an Amazon. / Gradwohl, Ronen; Tennenholtz, Moshe.
Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings. ed. / Panagiotis Kanellopoulos; Maria Kyropoulou; Alexandros Voudouris. Springer Science and Business Media Deutschland GmbH, 2022. p. 347-365 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Vol. 13584 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Gradwohl R, Tennenholtz M. Coopetition Against an Amazon. In Kanellopoulos P, Kyropoulou M, Voudouris A, editors, Algorithmic Game Theory - 15th International Symposium, SAGT 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 347-365. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ). doi: 10.1007/978-3-031-15714-1_20