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  • 1.
    Hansson, Karin
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Talantsev, Anton
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Nouri, Jalal
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Ekenberg, Love
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Lindgren, Tony
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Open government ideologies in post-soviet countries2016In: International Journal of Electronic Governance, ISSN 1742-7509, E-ISSN 1742-7517, Vol. 8, no 3, p. 244-264Article in journal (Refereed)
    Abstract [en]

    Most research in research areas like e-government, e-participation and open government assumes a democratic norm. The open government (OG) concept is commonly based on a general liberal and deliberative ideology emphasising transparency, access, participation and collaboration, but were also innovation and accountability are promoted. In this paper, we outline a terminology and suggest a method for how to investigate the concept more systematically in different policy documents, with a special emphasis on post-soviet countries. The result shows that the main focus in this regions OG policy documents is on freedom of information and accountability, and to a lesser extent on collaboration, while other aspects, such as diversity and innovation, are more rarely mentioned, if at all.

  • 2.
    Ibrahim, Osama
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Larsson, Aron
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A systems tool for structuring public policy problems and design of policy options2017In: International Journal of Electronic Governance, ISSN 1742-7509, E-ISSN 1742-7517, Vol. 9, no 1/2Article in journal (Refereed)
    Abstract [en]

    Systems analysis allows quantitative empirical testing of models that exist in the study of public policy. Simulation and visualisation techniques can help policy makers to reduce uncertainties on the possible impacts of policies. This paper presents a new tool for systems modelling and simulation of policy problems to support the problem analysis, the design of policy options and impact assessment activities. The tool facilitates the cognitive activity of representing complex mental models using system dynamics simulation modelling by defining standards and a procedure for policy modelling. We propose a new policy-oriented problem structuring method (PSM), the ‘labelled causal mapping’. The method supports scenario-based dynamic simulation and provides graphical representations of the involved actors, key variables, control flows and causal dependencies in a policy decision situation. A web-based tool prototype has been implemented in a Node.js environment. Two real policy problems are presented for demonstration of the use of the prototype.

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