{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/122251"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/122251","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Analysis of merger & acquisition frameworks from a deal rationale perspective in technology sector","abstract":"Mergers 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.","abstract_html":"Mergers and Acquisitions (M&amp;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&amp;A. While the frameworks themselves have been developed based on surveys of past success and failures, they are heavily relied upon by various M&amp;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&amp;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&amp;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&amp;A transaction. In summary, this paper will provide an overview of the M&amp;A frameworks developed over past 6 merger waves, compare them within the scope of technology domain and evangelize on their applicability and relevance.","abstract_has_math":false,"creators":["Narayanan, Sridhar,S.M.Massachusetts Institute of Technology."],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Engineering and Management Program","school":null,"contributors":[],"advisors":["Bruce G. Cameron."],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-22T22:20:52Z","subjects":["Engineering and Management Program.","System Design and Management Program."],"languages":["eng"],"rights":["MIT theses are protected by copyright. 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