Experimental evaluation of HoRIM to improve business strategy models

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationComputer and Information Science
    PublisherSpringer Verlag
    Pages43-56
    Number of pages14
    Volume719
    ISBN (Print)9783319601694
    DOIs
    Publication statusPublished - 2018
    Event16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017 - Wuhan, China
    Duration: 2017 May 242017 May 26

    Publication series

    NameStudies in Computational Intelligence
    Volume719
    ISSN (Print)1860-949X

    Other

    Other16th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2017
    CountryChina
    CityWuhan
    Period17/5/2417/5/26

    Keywords

    • Business strategy model
    • GQM+Strategies
    • Horizontal Relation Identification Method

    ASJC Scopus subject areas

    • Artificial Intelligence

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  • Cite this

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