Network orchestration and system dynamics modelling in developing innovative decision support systems for policy makers
Pikkarainen, Minna; Gomes, Julius Francis; Ranta, Jukka; Ylén, Peter; Iivari, Marika; Hurmelinna-Laukkanen, Piia (2020-06-30)
Pikkarainen, M., Gomes, J. F., Ranta, J., Ylén, P., Iivari, M., & Hurmelinna-Laukkanen, P. (2020). Network Orchestration and System Dynamics Modeling in Developing Innovative Decision Support Systems for Policy Makers. In Open Innovation: Bridging Theory and Practice (pp. 177–198). WORLD SCIENTIFIC. https://doi.org/10.1142/9789811219238_0007
© 2020 World Scientific Publishing Co Pte Ltd. Electronic version of an article published in Open Innovation: Bridging Theory and Practice (pp. 177–198). WORLD SCIENTIFIC. https://doi.org/10.1142/9789811219238_0007 © World Scientific Publishing Company, https://doi.org/10.1142/11794.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe202101262672
Tiivistelmä
Abstract
The decisions on public health policies have great impact on our society and citizens. These decisions made by 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 setting, it is not possible for one person, or even for a team, to understand the whole system, and all cause–effect relations. Therefore, there is a need for datadriven decision support tools.
Here, attention is turned to the potential of system dynamics modeling and innovation network orchestration for developing such tools. In the book chapter, it is shown how orchestration of a network and the use of system dynamics modeling (that makes visible the causes and effects of systemic challenges) come together in relation to developing an innovative data-driven decision support system for policy makers.
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