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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.
IJCRT's Publication Details
Unique Identification Number - IJCRT1136241
Paper ID - 305139
Page Number(s) - 744-749
Pubished in - Volume 7 | Issue 1 | March 2019
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Brijendra Kumar, "Algorithmic Collusion and Game Theory in Digital Markets", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.7, Issue 1, pp.744-749, March 2019, Available at :http://www.ijcrt.org/papers/IJCRT1136241.pdf
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Volume 14 | Issue 8
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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