Title :
Modeling the role variability in the MAP process model
Author :
Deneckere, Rebecca ; Rychkova, Irina ; Nurcan, Selmin
Author_Institution :
Centre de Rech. en Inf., Univ. Paris I, Paris, France
Abstract :
Business process modeling is a valuable technique helping organizations to specify their processes, to analyze their structure and to improve their performance. Conventional process modeling techniques are proven to be inefficient while dealing with non-repetitive, knowledge-intensive processes such as Case Management processes. In this work we use the MAP notation to model a Mortgage Approval Process as defined in Banking. To increase the navigability and practical value of map models, we extend the MAP notation with the concepts of Roles, Relations between roles, and Role Configuration Rules.
Keywords :
business data processing; mortgage processing; MAP process model; banking; business process modeling; knowledge-intensive process; mortgage approval process; role configuration rule; role variability modeling; Analytical models; Appraisal; Guidelines; Loans and mortgages; Organizations; Process control; Process model MAP; Role;
Conference_Titel :
Research Challenges in Information Science (RCIS), 2011 Fifth International Conference on
Conference_Location :
Gosier
Print_ISBN :
978-1-4244-8670-0
Electronic_ISBN :
2151-1349
DOI :
10.1109/RCIS.2011.6006862