Currently, the increased power and flexibility of computer technology is contributing to renewed interest in games and simulations. This development coincides with the current perspective of effective instruction in which meaningful learning depends on the construction of knowledge by the learner. Games and simulations, which can provide an environment for the learner’s construction of new knowledge, have the potential to become a major component of this focus. Games and simulations are often referred to as experiential exercises because they provide unique opportunities for students to interact with a knowledge domain. The process is determined as an identification of alternatives as possible solutions for an upcoming ill-structured problem. In this case, the aim is not to identify as many of these alternatives as possible, but rather the one that fits best with the interpreted goals, objectives and values. The decision-making process itself goes through multiple phases. First, it is necessary to identify a problem and to determine who are the decision-makers and stakeholders in the decision process. The original model shows a top to bottom process flow but the current status may always return to a previous step from any point in the process. Intelligent decision making is one of the current keywords in this research field and is interrelated to modern business development. The potential of big data and advanced artificial intelligence offers new insights for innovations on DSS and for decision making in the form of more objective and evidence-based smart decisions.