A Quality Management System for Project Processes in Institutional Economies with Dynamic Resource Control

This research develops an institutional economy quality management system (IEMS) to efficiently and effectively manage complex processes of projects, control project flows, and allocate available resources for project execution dynamically across organizational boundaries. Process logics are embedded in predicate (IFTHEN) rules that can be activated when condition is met to drive quality. In this paper, an expert system inference engine is applied to institutional economic reasons and manage quality as well as resource allocations in a virtual web enabled environment. Hence, project results can be controlled precisely to achieve the project goal and to meet the required project deliverables. In this study, we go into details to describe the flow operational mechanisms for the IEMS. Finally, we use a dynamic system (DS) development project as a case to demonstrate IEMS" comprehensive functions and capabilities for collaborative project management.