System dynamics-modelling as a tool to foster innovation orchestration in the context of data-driven policy making

Minna Pikkarainen, Marika Iivari, J. Francis Gomes, Peter Ylén, Jukka Ranta, Pia Hurmelinna-Laukkanen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific


    The decisions of public health policies have great impact on our society and citizens. These decisions made policy makers are typically driven by various types of continuously changing and interlinked determinants, such as economic, social, political and technological factors. In this dynamic situation, it is not possible for
    one person to understand the whole system, and all cause effect relations. Thus, we need a data-driven decision support tool - an innovation which will help policy makers to evaluate and orchestrate networks for better health and wellbeing in the society. This paper looks at the potential of system dynamics (SD) modeling as a tool for policy level innovation orchestration. In the paper, it is
    shown how orchestration of a network contributes to implementing an innovative data-driven decision support system for policy makers with the use of system dynamics modeling that makes visible all those causes and effects of systemic challenges.
    Original languageEnglish
    Title of host publicationProceedings of the ISPIM Innovation Summit
    Subtitle of host publicationBuilding the Innovation Century
    EditorsKoos Huizingh, Ian Bitran, Steffen Conn, Olga Kokshina, Marko Torkkeli, Marcus Tynnhammar
    PublisherInternational Society for Professional Innovation Management ISPIM
    ISBN (Print)978-952-335-083-0
    Publication statusPublished - 2017
    MoE publication typeB3 Non-refereed article in conference proceedings
    EventISPIM Innovation Summit 2017: Building the Innovation Century - Melbourne, Australia
    Duration: 10 Dec 201713 Dec 2017


    ConferenceISPIM Innovation Summit 2017


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