Public Decision MakingSupport: A Developing Country Perspective
Mona Riabacke, Samuel Bohman, Mats Danielson, Love Ekenberg, Waly Faye, Aron Larsson
Abstract
Mona Riabacke, Samuel Bohman, Mats Danielson, Love Ekenberg, Waly Faye, Aron Larsson
Abstract
The aim of this paper is to discuss a method for public decision making with decision support in developing countries in Africa. It integrates two academic fields: decision theory and computer-aided decision support on the one hand, and political science and e-democracy on the other. The method suggested deals with the problem of communication within the governmental body, as well as externally to the public. It supports decision making by a methodical stepwise procedure, formal modelling, and analysis. The result is a well-organized and transparent decision making process. The model is based on previous research and case studies in Sweden and Hungary. One major challenge is to develop a decision support adapted to local conditions and needs while preserving integrity of the method. Potential benefits range from better investment decisions, improved risk management, to increased transparency and governmental trust.
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The aim of this paper is to discuss a method for public decision making with decision support in developing countries in Africa. It integrates two academic fields: decision theory and computer-aided decision support on the one hand, and political science and e-democracy on the other. The method suggested deals with the problem of communication within the governmental body, as well as externally to the public. It supports decision making by a methodical stepwise procedure, formal modelling, and analysis. The result is a well-organized and transparent decision making process. The model is based on previous research and case studies in Sweden and Hungary. One major challenge is to develop a decision support adapted to local conditions and needs while preserving integrity of the method. Potential benefits range from better investment decisions, improved risk management, to increased transparency and governmental trust.
Key concepts: Transparency (behavior), Decision support system, Decision engineering, Decision analysis, Democracy, Perspective (graphical), Business decision mapping, Management science