The art of AI : the impact of artificial intelligence on the merger and acquisition strategy

• Autor(a) principal: Rien, Alexander
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.14/26896
• topic: Merger & acquisition; M&A; Artificial Intelligence; AI; Due diligence; Legal due diligence; Financial due diligence; Commercial due diligence; Machine learning; Deep learning; Natural language processing; Clustering; Fusões e aquisições; Inteligência Artificial; Domínio/Área Científica::Ciências Sociais::Economia e Gestão

Based on a lack of studies in this specific field and the theory that manual as well as cognitive tasks can be replaced by machines, this study explores, using a qualitative research method, the impact of artificial intelligence on the Merger&Acquisition process. An analysis of multinational interviews with experts from different industries and a framework adapted to the Due Diligence process show that there is and will be an impact of Artificial Intelligence on the Due Diligence process as the most crucial process of the Merger& Acquisitions. Although the impact of Artificial Intelligence is nowadays the greatest on Legal Due Diligence and AI-based solutions are already offered, this study, however, states that within the next 5-10 years, even 96% of all tasks of the Due Diligence will be partially or fully substituted. Furthermore, the framework reinforces the underlying theory that both manual and cognitive tasks can already be replaced by machines. Among the reasons why AI has nowadays not yet been adopted in all Due Diligence are the fact that the target companies' data is too different to train a machine, that due diligence involves a lot of communication and that humans are not yet ready for this cultural change. Based on these findings, managers of companies conducting due diligences are advised to prepare their company and employees for the implementation of Artificial Intelligence by following the steps described in Kotter's 8-step change model.