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HHM-Based Risk Management for Business Gaming

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

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Abstract

Business Gaming is a methodology for examining new business models in e-business field. This paper aims at improving the methodology to handle risk factors in the model. We utilize Hierarchical Holographic Modeling method (HHM method) for the risk assessment. In this paper, we develop a new risk assessment process on the IT-System Security field within the business gaming environment. We model knowledge related to risks by HHM method. The results suggest the effectiveness of applying the models into the Business Game environment.

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References

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Author information

Authors and Affiliations

  1. Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Tokyo, Japan

    Toshikazu Shimodaira & Takao Terano

  2. Graduate School of Business Sciences, University of Tsukuba, Tokyo

    Hua Xu

Authors
  1. Toshikazu Shimodaira
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  2. Hua Xu
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  3. Takao Terano
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Shimodaira, T., Xu, H., Terano, T. (2005). HHM-Based Risk Management for Business Gaming. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_111

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  • DOI: https://doi.org/10.1007/11554028_111

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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