ISSN2320-2882
Impact Factor9.17
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Paper Title

Algorithmic Collusion and Game Theory in Digital Markets

Authors

Brijendra Kumar

Keywords

Algorithmic Collusion, Game Theory, Digital Markets, Pricing Algorithms, Tacit Collusion.

Abstract

This paper examines the emergence of algorithmic collusion in digital markets using game-theoretic frameworks. With the rise of algorithm-driven pricing by firms such as Amazon and Uber, traditional models of competition are being challenged. The study applies repeated game theory and Nash equilibrium concepts to show how algorithms can sustain tacit collusion without explicit communication. The findings suggest that algorithmic pricing can lead to higher prices and reduced competition, raising concerns for regulators. Policy implications highlight the need for updated antitrust frameworks. The rapid adoption of algorithmic pricing in digital markets has raised significant concerns for competition policy. The analysis shows that repeated interactions and data-driven learning enable firms to reach collusive outcomes without direct communication.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"Algorithmic Collusion and Game Theory in Digital Markets", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.7, Issue 1, page no.744-749, March 2019, Available :https://ijcrt.org/papers/IJCRT1136241.pdf
APA — 7th edition
Kumar, B. (2019). Algorithmic Collusion and Game Theory in Digital Markets. International Journal of Creative Research Thoughts, 7(1), 744-749. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1136241
MLA — 9th edition
Kumar, Brijendra. "Algorithmic Collusion and Game Theory in Digital Markets." International Journal of Creative Research Thoughts, vol. 7, no. 1, 2019, pp. 744-749, https://ijcrt.org/viewpaperforall.php?paper=IJCRT1136241.
Chicago — 17th, bibliography
Kumar, Brijendra. "Algorithmic Collusion and Game Theory in Digital Markets." International Journal of Creative Research Thoughts 7, no. 1 (2019): 744-749. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1136241.
Harvard — author–date
Kumar, B. (2019) 'Algorithmic Collusion and Game Theory in Digital Markets', International Journal of Creative Research Thoughts, 7(1), pp. 744-749. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT1136241
IEEE — numbered reference
B. Kumar, "Algorithmic Collusion and Game Theory in Digital Markets," IJCRT, vol. 7, no. 1, pp. 744-749, Mar. 2019.
Vancouver — biomedical
Kumar B. Algorithmic Collusion and Game Theory in Digital Markets. IJCRT. 2019 Mar;7(1):744-749.
AMA — 11th edition
Kumar B. Algorithmic Collusion and Game Theory in Digital Markets. IJCRT. 2019;7(1):744-749. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT1136241
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT1136241, author = {Brijendra Kumar}, title = {Algorithmic Collusion and Game Theory in Digital Markets}, journal = {International Journal of Creative Research Thoughts}, volume = {7}, number = {1}, pages = {744-749}, year = {2019}, month = {March}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT1136241} }
RIS — EndNote, RefWorks
TY - JOUR AU - Kumar, Brijendra TI - Algorithmic Collusion and Game Theory in Digital Markets T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 7 IS - 1 PY - 2019 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT1136241 SP - 744 EP - 749 ER -

Issue

Volume 7 Issue 1, March-2019
Pages : 744-749

Article Information

Pages
744-749
Published
March 2019
Registration ID
IJCRT_305139
Published Paper ID
IJCRT1136241
Research Area
Arts1 All
Author Type
Indian Author
Location
agra, Uttar Pradesh, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
147

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Registration ID IJCRT_305139

About Publisher

International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
9.17 Impact Factor
2013 ESTD Year
Open Access
Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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Licence

© 2019 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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