The rapid evolution of IT and the Internet allows companies to reorganize in new ways. E-business has quickly evolved into global e-commerce. Production philosophy has drastically changed from a traditional entrepreneurial integration philosophy into the supply-chain based philosophy. In such conditions the decisions that are crafted using a modern IT based decision support methodology represent the main force of development. The organizations that are able to make good decisions fast are the ones that are successful. Our research is significant for the linking of conventional simulation models, based on differential equations, with the qualitative methods of expert systems and the validation of scenarios of business policies that are focused on the utilization of electronic commerce technologies. In the area of business simulations and decision theory this is an important innovation. The union of these methods gives new insight in the relation between heuristic and quantitative approach in dealing with the business situations. An important contribution of the group was made in the area of production planning and the development of more efficient production algorithms, as is evident from the publications in reputable international journals. We have developed and tested a method of multi-criteria simulation model scenario selection based on the principle of Pareto optimality. The concept contains both soft and hard methodologies in the creation and selection of scenarios. The simulation system designed using visual interactive modelling and a group support system allows the research of team influence on the decision strategy selection and the analysis of the influence of learning in the decision-making process using a simulation model and also the sensitivity analysis of solution selection in different teams. The system permits the analysis of various business decisions in the alternative selection process. A globally significant contribution is the development of the genetic algorithm using the Fibonacci series to compute the positions of genetic operator application, which is used to alter the genes in the procedure of an optimal production schedule generation. In the area of health care information systems we have developed and implemented an automated health care classification system. This work has lead to the publishing of several well received articles in significant international publications and garnered an internationally acclaimed award of CASYS 2000 for the best scientific article in the area of anticipative systems: Anticipative Systems Meaning and Understanding and the CASYS 2003 award for the best scientific article in the area of group decision processes: The Anticipation Value of the Individual and Group Information Feedback on the Decision Process During the Simulation Experiment.