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

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

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

    Abstract

    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
    PublisherSpringer
    Pages188-203
    Number of pages16
    ISBN (Electronic)978-3-319-61572-1
    ISBN (Print)978-3-319-61571-4
    DOIs
    Publication statusPublished - 1 Jan 2017
    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
    PublisherSpringer
    Volume10247
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349
    NameLecture Notes in Artificial Intelligence
    PublisherSpringer

    Conference

    Conference8th JSAI International Symposium on AI
    Abbreviated titleJSAI-isAI
    CountryJapan
    CityYokohama
    Period14/11/1616/11/16

    Fingerprint

    Agent-based Model
    Mergers and acquisitions
    Mergers
    Simulation Experiment
    Industry
    Managers
    Personnel
    Feedback
    Model
    Acquisition
    Strategy
    Experiments
    Business

    Cite this

    Su, J., Songhori, M. J., Kikuchi, T., Toriyama, M., & Terano, T. (2017). An agent-based model for evaluating post-acquisition integration strategies. In S. Kurahashi, Y. Ohta, S. Arai, K. Satoh, & D. Bekki (Eds.), New Frontiers in Artificial Intelligence: JSAI-isAI 2016 Workshops, LENLS HAT-MASH, AI-Biz, JURISIN and SKL, Kanagawa, Japan, November 14-16, 2016. Revised Selected Papers (pp. 188-203). (Lecture Notes in Computer Science; Vol. 10247), (Lecture Notes in Artificial Intelligence). Cham: Springer. https://doi.org/10.1007/978-3-319-61572-1_13
    Su, Jing ; Songhori, Mohsen Jafari ; Kikuchi, Takamasa ; Toriyama, Masahiro ; Terano, Takao. / An agent-based model for evaluating post-acquisition integration strategies. New Frontiers in Artificial Intelligence: JSAI-isAI 2016 Workshops, LENLS HAT-MASH, AI-Biz, JURISIN and SKL, Kanagawa, Japan, November 14-16, 2016. Revised Selected Papers. editor / Setsuya Kurahashi ; Yuiko Ohta ; Sachiyo Arai ; Ken Satoh ; Daisuke Bekki. Cham : Springer, 2017. pp. 188-203 (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence).
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    abstract = "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.",
    author = "Jing Su and Songhori, {Mohsen Jafari} and Takamasa Kikuchi and Masahiro Toriyama and Takao Terano",
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    Su, J, Songhori, MJ, Kikuchi, T, Toriyama, M & Terano, T 2017, An agent-based model for evaluating post-acquisition integration strategies. in S Kurahashi, Y Ohta, S Arai, K Satoh & D Bekki (eds), New Frontiers in Artificial Intelligence: JSAI-isAI 2016 Workshops, LENLS HAT-MASH, AI-Biz, JURISIN and SKL, Kanagawa, Japan, November 14-16, 2016. Revised Selected Papers. Lecture Notes in Computer Science, vol. 10247, Lecture Notes in Artificial Intelligence, Springer, Cham, pp. 188-203, 8th JSAI International Symposium on AI, Yokohama, Japan, 14/11/16. https://doi.org/10.1007/978-3-319-61572-1_13

    An agent-based model for evaluating post-acquisition integration strategies. / Su, Jing; Songhori, Mohsen Jafari; Kikuchi, Takamasa; Toriyama, Masahiro; Terano, Takao.

    New Frontiers in Artificial Intelligence: JSAI-isAI 2016 Workshops, LENLS HAT-MASH, AI-Biz, JURISIN and SKL, Kanagawa, Japan, November 14-16, 2016. Revised Selected Papers. ed. / Setsuya Kurahashi; Yuiko Ohta; Sachiyo Arai; Ken Satoh; Daisuke Bekki. Cham : Springer, 2017. p. 188-203 (Lecture Notes in Computer Science; Vol. 10247), (Lecture Notes in Artificial Intelligence).

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

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    AB - 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.

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    Su J, Songhori MJ, Kikuchi T, Toriyama M, Terano T. An agent-based model for evaluating post-acquisition integration strategies. In Kurahashi S, Ohta Y, Arai S, Satoh K, Bekki D, editors, New Frontiers in Artificial Intelligence: JSAI-isAI 2016 Workshops, LENLS HAT-MASH, AI-Biz, JURISIN and SKL, Kanagawa, Japan, November 14-16, 2016. Revised Selected Papers. Cham: Springer. 2017. p. 188-203. (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence). https://doi.org/10.1007/978-3-319-61572-1_13