An agent-based model for evaluating post-acquisition integration strategies

Jing Su*, Mohsen Jafari Songhori, Takamasa Kikuchi, Masahiro Toriyama, Takao Terano

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Mergers and acquisitions become popular means for the development of modern corporations, allowing companies to obtain quick access to new markets and source to grow. Post-acquisition integration has been recognized to be influential to the success of M&A. In this paper, we develop an agent-based model to study post-acquisition integration strategies for M&A according to the behavioral theory of the firm. Especially, the model conceptualizes firms conducting search over associated NK performance landscapes. Using this model, our simulation experiments indicate that strategies of personnel allocation, high level manager’s feedback and the frequency of exchanging information could have impact on company’s performance after M&A.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence
Subtitle of host publicationJSAI-isAI 2016 Workshops, LENLS HAT-MASH, AI-Biz, JURISIN and SKL, Kanagawa, Japan, November 14-16, 2016. Revised Selected Papers
EditorsSetsuya Kurahashi, Yuiko Ohta, Sachiyo Arai, Ken Satoh, Daisuke Bekki
Place of PublicationCham
Number of pages16
ISBN (Electronic)978-3-319-61572-1
ISBN (Print)978-3-319-61571-4
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event8th JSAI International Symposium on AI: JSAI-isAI 2016 - Raiosha, Hiyoshi Campus, Keio University, Yokohama, Japan
Duration: 14 Nov 201616 Nov 2016
Conference number: 7

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameLecture Notes in Artificial Intelligence


Conference8th JSAI International Symposium on AI
Abbreviated titleJSAI-isAI


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