State-of-the-art and possible fields of application for the integrated support of merger and acquisition processes by means of artificial intelligence

Matthias Lederer, Elias Jakob and Peter Rathnow

International Journal of Data Science, 2022, vol. 7, issue 1, 22-43

Abstract: Artificial intelligence has the potential to fundamentally change many industries, including the finance industry. By now, there has been no radical evolution in the way Mergers and Acquisitions (M%A) processes are conducted for decades. The aim of this research is to analyse if and how artificial intelligence (AI) can be used to increase efficiency and effectiveness in M%A transactions. The work is based on the one hand on the respective literature on AI and on M%A and on the other hand on a survey of experts from the financial services industry. The results show that respondents see the greatest opportunities for AI in the M%A process in increasing efficiency and precision. Limitations of the application arise regarding data conformity, data protection and the technical reproducibility of emotional intelligence. Overall, this paper shows which realistic approaches exist for AI in the M%A process and how this technology can lead to an increase in effectiveness and efficiency.

Keywords: artificial intelligence; mergers and acquisitions; M%A process; due diligence. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=124354 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdsci:v:7:y:2022:i:1:p:22-43

Access Statistics for this article

More articles in International Journal of Data Science from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().