Description
Smart devices like smartphones or tablets have become ubiquitous, which affected many daily work activities like maintaining contacts via a mobile CRM anywhere, anytime. Thus, business processes can now be executed independently of an employee’s location. In addition, mobile devices have the possibility to measure physical quantities through sensors, like location or acceleration. Moreover, the connection to wireless networks made it possible to query context information like customer history. These context information can be used to adapt mobile business processes and the mobile application that support them. But in order to use this advantage, mobile sensor data has to be reflected in the business process model. As current languages for process aware information systems, such as BPMN, do not support the influence of mobile context information, we propose an extension of the BPMN that will enable the modeling of mobile context sensitive business processes.
A Meta Model Based Extension of BPMN 2.0 for Mobile Context Sensitive Business Processes and Applications
Smart devices like smartphones or tablets have become ubiquitous, which affected many daily work activities like maintaining contacts via a mobile CRM anywhere, anytime. Thus, business processes can now be executed independently of an employee’s location. In addition, mobile devices have the possibility to measure physical quantities through sensors, like location or acceleration. Moreover, the connection to wireless networks made it possible to query context information like customer history. These context information can be used to adapt mobile business processes and the mobile application that support them. But in order to use this advantage, mobile sensor data has to be reflected in the business process model. As current languages for process aware information systems, such as BPMN, do not support the influence of mobile context information, we propose an extension of the BPMN that will enable the modeling of mobile context sensitive business processes.