Faculty of Science

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Browsing Faculty of Science by Subject "Systems dynamics approach"

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    Complexity and risk in IS projects: a system dynamics approach
    (Fountain Publishers, 2007) Ssemaluulu, Paul Mukasa; Ddembe, Williams
    In spite of ongoing research on IS risks and the increased sophistication of the tools and techniques developed, IS risks continue to be a challenge to IS professionals and managers. Increased complexity leads to increased risks. When we are confronted with a complex system, our knowledge and understanding of how different components work and interact, and accordingly how the system as a whole works, will always be incomplete. While many researchers have dwelt on project management techniques, it is apparent that we cannot have all the answers in advance since we cannot foretell the future. Due to the increasing complexity of IS solutions it is seen that existing information system development methodologies do not tackle this adequately. The primary purpose of this paper is to highlight how System Dynamics which employs systems thinking can be used to deal with the study of organizations (companies, public institutions, and other human organizations) as complex systems of human activity, with plurality of interest and values. It also shows how System Dynamics models can help companies to manage the risks and uncertainties related to complex IS projects. This paper partly describes some variables in an ongoing research where we aim to use the system dynamics methodology to create a better understanding of the link between information quality and customer satisfaction. We critically look at two variables that we deem important in the search for this relationship. These are complexity and risk in IS projects
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    Conceptual modeling of nodding syndrome: a system dynamics and sequence approaches
    (The Centre for Democracy, Research and Development (CEDRED), 2017-06) Ongaya, Kizito; Ssemaluulu, Paul Mukasa; Oyo, Benedict; Bongomin, Pido
    Conceptual modelling of nodding syndrome (NS) has hardly been considered in most scientific literature although symptoms of the disease has been widely studied. A conceptual model is a representation of hypothesis about a system under investigation and enables a comparison between hypothesis and data. Since nodding syndrome is an unexplained neurological illness that mainly affects children aged between 5 to 15 years, without specific diagnosis and treatment, the aetiology remains unknown and under investigation, conceptual modelling may be a crucial ingredient in understanding the disease. Purpose of the Study: The purpose of the study is therefore, to represent nodding syndrome occurrence and immune-pathogenic pathways in the causation of nodding syndrome using system dynamics approaches. Methodology: We have used systematic review method to filter literature on nodding syndrome from the year. We also used Systems Dynamic Approach and we emphasized confirmed scientific investigation to enable the relationships conform to reality. Vensim software was preferred for implementation of the casual-loop diagrams. Microsoft Office Visio 2007 was identified as suitable for implementation of the sequence conceptual model of nodding syndrome for its ability to show interactions between electrolytes and other actors. Findings: Our findings were that system dynamics approach has not been used research of nodding syndrome. More so, conceptual modeling were not considered by most articles.