1. INTRODUCTION The objective of this article is to have a critical evaluation of what decision support systems are, particularly in the organizational context, the historical genesis of these systems and the latest trends in this subfield of MIS. Along with the above-mentioned objectives, we sought to explore, through examples, the relevance and importance of DSS in large and complicated decision-making contexts. We will also try to visualize how DSS might evolve 20 years from now in a widely connected world and what kind of problems they might help solve efficiently2. DECISION MAKING – CONCEPTUAL UNDERSTANDING Decision making, in fact, is a cognitive process in which humans select the best course of action among various multiple choices/alternatives. Since it is a very tacit and subtle process, doing is invisible and is called a psychological construct1. The decision-making process leads to the final action. Decision making serves as an important part of work in many professions where important and critical decisions are made by specialists who possess the necessary skills in that particular area. The areas can be related to different topics such as politics (as in the case of Obama, the president of the United States making the decision to deploy forces in a war-torn country), or scientific discovery or they can be a typical business decision ( Apple will launch a new product next summer.) Since there are several considerations in decision making, decision support systems belong to a multidisciplinary environment that includes database searching, artificial intelligence, human-computer interaction, simulation methods and software engineering. In short, DSSs are support systems that are supposed to cover huge amounts of, perhaps contradictory, data and provide a reasonable... middle of the paper......nces of the group's decision making. With the development of local area networks (LANs), the GDSS concept evolved into computer-supported cooperative working (CSCW). In this way, researchers have recognized that decision makers not only come together to make decisions (as supported in the decision war room context), but often work together over time on projects and problems. DSS research and practice have evolved alongside information technology. The concept of DSS to support concentrated human problem solving was not possible until humans could interact with computers. IT could not support the groups until the network infrastructure was readily available. Knowledge-based DSSs were not feasible until the concepts of artificial intelligence and expert systems were developed. As information technology appears to expand exponentially, the opportunities for DSS will become ever greater.