Paper Title

A deep dive into the employment of Game Theory Tactics in IP heavy M&A Transactions : How deals may focus on Annihilation as opposed to Expansion.

Authors

Jahaan Mukherji , D.DR. Lakshmi Priya Vinjamuri

Keywords

Mergers and acquisitions, M&A, IPR, Killer Acquisitions

Abstract

Killer Acquisitions, as profit and monopoly maximising strategies pose a variety of policy driven risks against antitrust regulations in the country. Modern day combinations are conducted in a way that maximises corporate profits and monopoly expansion, in various cases companies have been found guilty of acquiring startups, only to dump the latter’s operations to safeguard their own interests. The issue arises not out of transactions that we manage to witness, but the sheer amount of transactions that manage to completely fly off of antitrust radars, the foremost reason for occurrences like these monopolized transactions is the sheer dependency of authoritarian policies on quants and tangibles alone. This research article focuses on exemplifying and identifying lapses in pre-existing antitrust regulations for combinations and truly understanding what these lapses might entail.

How To Cite

"A deep dive into the employment of Game Theory Tactics in IP heavy M&A Transactions : How deals may focus on Annihilation as opposed to Expansion.", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.a777-a780, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606103.pdf

Issue

Volume 4 Issue 6, June-2026

Pages : a777-a780

Other Publication Details

Paper Reg. ID: JETNR_235093

Published Paper Id: JETNR2606103

Downloads: 00071

Research Area: Arts All

Country: Dehradun , Uttarakhand , India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2606103

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2606103

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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