טכניון מכון טכנולוגי לישראל
הטכניון מכון טכנולוגי לישראל - בית הספר ללימודי מוסמכים  
Ph.D Thesis
Ph.D StudentMolcho Gila
SubjectDynamic Business Process Modeling of Knowledge Processes
DepartmentDepartment of Industrial Engineering and Management
Supervisor Professor Reuven Karni


Abstract

Enterprise management is influenced and guided by organizational viewpoints. When a particular viewpoint predominates, resources are channeled into developing and strengthening the organization in that direction. The orientation of organizational viewpoints has migrated from marketing, resources, information technology, and business processes towards knowledge and decision making. Each viewpoint has been developed largely in isolation. However, integration began when the concept of enterprise-wide IT was implemented in ERP systems; it is still unresolved within managerial processes and knowledge management. In order to resolve this challenge, we have developed a paradigm based upon the principle of integration of organizational flows - processes, knowledge and decisions - as enabled by an IT infrastructure. Our paradigm for knowledge for decision making is termed the Integrated Enterprise Flow Model (IEFM). It combines business process, decisionmaking and knowledge management to achieve an integrated model for repetitive organizational decisionmaking within business process execution. The IEFM incorporates five clearly defined components: a business process for decision making; knowledge, information and data (KID) exchange objects; a repository for the exchange objects; exchange flows - system- and decisionmaker-initiated flows of exchange objects between process and repository; and an interfacing mechanism - for executing and managing exchange flows. Moreover, a further principle of JIT knowledge implies a timely, well synchronized flow of inputs and outputs of an ongoing process; the IEFM operationalizes this by providing existing KID to the decision maker and capturing and storing new KID created in the process - both in real time.