Configuring Systems of Massively Distributed, Autonomous and Interdependent Decision Makers

Massively distributed systems in general and massively distributed DSS in particular have become – and will inevitably continue to become – more and more common in the contemporary massively networked world. However, the authors understanding – and corresponding intuitions – of system performance at these scales are only preliminary. This study aimed at the development of a solid approach and modeling platform for the study of Massively Distributed DSS, the MDDSS, an application at the forefront of IS/ICT applications today. The key contribution of this research is that it charts design guidelines with respect to expected MDDSS performance, guidelines which explicitly relate essential and observable attributes of the decision situations to the corresponding preferred MDDSS architecture.