Experimental evaluation of HoRIM to improve business strategy models

Yohei Aoki, Hironori Washizaki, Chimaki Shimura, Yuichiro Senzaki, Yoshiaki Fukazawa

    研究成果: Conference contribution

    抄録

    Aligning organizational goals and strategies is important in Business Process Management (BPM). The Horizontal Relation Identification Method (HoRIM), which is our extension of the GQM+Strategies framework, improves the strategic alignment between organizations. GQM+Strategies aligns the strategies across organizational units at different levels by a strategy model, which is a tree structure of strategies called a GQM+Strategies grid. HoRIM identifies and handles horizontal relations (e.g., conflicting and similar strategies) between strategies in different branches, but we have yet to adequately inspect the impact of HoRIM on identifying correct horizontal relations and improving grids. This lack of clarity hampers the application of HoRIM to industrial business strategy models. Herein, we evaluate the impact of HoRIM on the review process and the improvement process of GQM+Strategies grids using two experiments. The review experiment confirms that HoRIM identifies about 1.5 more horizontal relations than an ad hoc review. The modification experiment where four researchers evaluated the validity of improved grids by the ranking method suggests that HoRIM effectively modifies GQM+Strategies grids.

    元の言語English
    ホスト出版物のタイトルComputer and Information Science
    出版者Springer Verlag
    ページ43-56
    ページ数14
    719
    ISBN(印刷物)9783319601694
    DOI
    出版物ステータスPublished - 2018
    イベント16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017 - Wuhan, China
    継続期間: 2017 5 242017 5 26

    出版物シリーズ

    名前Studies in Computational Intelligence
    719
    ISSN(印刷物)1860-949X

    Other

    Other16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017
    China
    Wuhan
    期間17/5/2417/5/26

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    Industry
    Experiments

    ASJC Scopus subject areas

    • Artificial Intelligence

    これを引用

    Aoki, Y., Washizaki, H., Shimura, C., Senzaki, Y., & Fukazawa, Y. (2018). Experimental evaluation of HoRIM to improve business strategy models. : Computer and Information Science (巻 719, pp. 43-56). (Studies in Computational Intelligence; 巻数 719). Springer Verlag. https://doi.org/10.1007/978-3-319-60170-0_4

    Experimental evaluation of HoRIM to improve business strategy models. / Aoki, Yohei; Washizaki, Hironori; Shimura, Chimaki; Senzaki, Yuichiro; Fukazawa, Yoshiaki.

    Computer and Information Science. 巻 719 Springer Verlag, 2018. p. 43-56 (Studies in Computational Intelligence; 巻 719).

    研究成果: Conference contribution

    Aoki, Y, Washizaki, H, Shimura, C, Senzaki, Y & Fukazawa, Y 2018, Experimental evaluation of HoRIM to improve business strategy models. : Computer and Information Science. 巻. 719, Studies in Computational Intelligence, 巻. 719, Springer Verlag, pp. 43-56, 16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017, Wuhan, China, 17/5/24. https://doi.org/10.1007/978-3-319-60170-0_4
    Aoki Y, Washizaki H, Shimura C, Senzaki Y, Fukazawa Y. Experimental evaluation of HoRIM to improve business strategy models. : Computer and Information Science. 巻 719. Springer Verlag. 2018. p. 43-56. (Studies in Computational Intelligence). https://doi.org/10.1007/978-3-319-60170-0_4
    Aoki, Yohei ; Washizaki, Hironori ; Shimura, Chimaki ; Senzaki, Yuichiro ; Fukazawa, Yoshiaki. / Experimental evaluation of HoRIM to improve business strategy models. Computer and Information Science. 巻 719 Springer Verlag, 2018. pp. 43-56 (Studies in Computational Intelligence).
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