Massachusetts Institute of Technology
Analysis of merger & acquisition frameworks from a deal rationale perspective in technology sector
Abstract
dc:description.abstractMergers and Acquisitions (M&A) activity has been a widely researched area over the past century by both academic and industry experts. This paper summarizes the various frameworks that have been developed to explain the motivations to conduct M&A. While the frameworks themselves have been developed based on surveys of past success and failures, they are heavily relied upon by various M&A schools of thought to advise present and future strategies for the industry. In comparing these frameworks, the paper summarizes how deal rationales drive success or failure of M&A transactions. I analyze the HP-Autonomy case study to demonstrate how the different frameworks would approach the deal in question. I also look at the failure modes demonstrated in the deal to better evaluate relevance of the frameworks to the intended deal rationale. Further I talk about how innovation fuels inorganic growth for companies in the technology domain. In doing so, I focus on the relevance of these frameworks to the technology domain and how the industry should approach and utilize these M&A frameworks. Based on the studies and the key concerns of the technology domain, I conclude on the possibility of McKinsey Framework being a truly comprehensive Framework that can be used as a basis for understanding the motivation for a M&A transaction. In summary, this paper will provide an overview of the M&A frameworks developed over past 6 merger waves, compare them within the scope of technology domain and evangelize on their applicability and relevance.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Massachusetts Institute of Technology. Engineering and Management Program
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Narayanan, Sridhar,S.M.Massachusetts Institute of Technology.
- Advisor dc:contributor.advisor
-
- Bruce G. Cameron.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/122251
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/122251