Research Report: Improving Decision Support Systems with AI

This research paper investigates the efficiency improvements in Decision Support Systems (DSS) through the application of Artificial Intelligence (AI). The literature review explores the use of AI techniques to enhance the effectiveness of DSS, reduce complexity, and improve business processes. The paper discusses various components of AI-based DSS, including data management, model management, and consumer interfaces. It highlights the ability of AI to handle complex situations, reduce errors, and provide effective solutions. The research methodology includes interpretivism philosophy, an inductive approach, and a mixed research design, incorporating both qualitative and quantitative methods. Data collection involves surveys, questionnaires, and a review of previous papers. The study employs a probability sampling process with a simple random technique to select respondents. The paper analyzes the impact of AI on decision-making, customer satisfaction, and financial sectors, emphasizing its role in developing effective decision-based models and handling consumer queries through computer-based systems and networks. The conclusion emphasizes the role of AI in enhancing the efficiency of DSS and solving complex problems in less time.