Exploration of Dynamic Model-Based Decision Support Systems in Various Sectors: Systematic Literature Review and Visual Analysis

Dynamic model-based decision support systems can be used to assist strategic decision making in various sectors in facing complex and uncertain environmental challenges. The main problem in the development and application of dynamic model-based decision support systems is the lack of comprehensive mapping of research trends, challenges, and opportunities. This study aims to explore the application of dynamic model-based decision support systems to identify trends, as well as theoretical and practical contributions in various sectors. This study uses a systematic literature review method. Data collection techniques involve a visual filtering and analysis process to understand the pattern of decision support system application. The results of the study indicate that dynamic model-based decision support systems, such as simulation, system dynamics, and real option theory, are effective in supporting strategic decision making in the industrial, public policy, and management sectors. The integration of artificial intelligence (AI) technology and data analytics also strengthens the flexibility and accuracy of the system