• DocumentCode
    243584
  • Title

    Estimation of Novelty Assessment of Strategic Scenarios Using Relativeness

  • Author

    Hayashi, Teruaki ; Ohsawa, Yukio

  • Author_Institution
    Dept. of Syst. Innovation, Univ. of Tokyo, Tokyo, Japan
  • fYear
    2014
  • fDate
    14-14 Dec. 2014
  • Firstpage
    441
  • Lastpage
    446
  • Abstract
    A scenario is the series of elements of information which supports decision making. Action Planning is a method for cultivating ideas to generate practical scenarios of actions (strategic scenarios). Frameworks and items on Action Planning sheets provide participants with constraint, and guide creative thinking to solve social issues. In this study, we propose a method for evaluating a value of a strategic scenario. We define novelty as one of the indicators to assess strategic scenarios, and introduce the concept of Relativeness to calculate the closeness between a role and knowledge included in strategic scenarios. A role is an attribute of a participant which is a job selected from real world. By regarding a word as the smallest unit of knowledge in strategic scenarios, Relativeness takes the function of an indicator to measure the degree of affinities between a role and a scenario. The result of our experiment suggests that combining low relative knowledge with roles may lead to a high assessment of novelty in strategic scenarios, and Relativeness may work as the automatic method for estimating subjective assessment.
  • Keywords
    decision making; innovation management; social sciences computing; action planning; creative thinking; decision making; ideas cultivation; innovators marketplace; low relative knowledge; relativeness; role-scenario affinities; social issues; strategic scenarios; subjective assessment estimation; Companies; Decision making; Educational institutions; Games; Planning; Innovators Marketplace; creativity support; decision making; scenario;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4799-4275-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2014.68
  • Filename
    7022629