It is becoming increasing important to provide decision makers at all organizational levels with necessary information and knowledge for effective decision making. Decision makers at higher organizational levels need, in addition to support in decision making, assistance in analyzing patterns and trends in decisions taken by decision makers at lower organizational levels. In this paper, we pres...

We compare play in private and public committees when insiders care both about how well the committee decision serves organizational goals, and about the rewards which outsiders give for representing their interests. We show that a private committee reaches decisions which better serve organizational goals than either a public committee or the median insider choosing alone; and that a committee...

Three different strategies are identified for organizational adaptation, including dynamic process selection. An executable organizational model composed of individual models of a five stage interacting decision maker is used to evaluate the effectiveness of the different adaptation strategies on organizational performance. The concept of entropy is used to calculate the total activity value, a...

Previous research claimed that organizational stress, due to task complexity and time pressure, leads to considerably negative effects on the decision-making performance of individuals and organizations. At the same time, intellectual capital (IC), in providing intangible internal and external organizational assets has a positive effect on organizational decision-making performance. This paper ...

Decision-making in organizations is complex due to interdependencies among decision-makers (agents) within and across organizational hierarchies. We propose a multiscale decision-making model that captures and analyzes multiscale agent interactions in large, distributed decision-making systems. In general, multiscale systems exhibit phenomena that are coupled through various temporal, spatial a...

Research and development (R&D) project selection is an important task for organizations with R&D project management. It is a complicated multi-stage decision-making process, which involves groups of decision makers. Current research on R&D project selection mainly focuses on mathematical decision models and their applications, but ignores the organizational aspect of the decision-making process...

We present a general framework to study the project selection problem in an organization of fallible decision-makers. We show that when the organizational size and the majority rule for project acceptance are optimized simultaneously, the optimal quality of decision-making, as determined by the decision criterion, is invariant, and depends only on the expertise of decision-makers. This result c...