Paper Info
Title
An integrated approach to process-driven business performance monitoring and analysis for real-time enterprises
Abstract
Business process management systems (BPMSs) are increasingly gaining momentum as a software platform on which to define, execute, and track enterprise-wide business processes. BPMSs promise to facilitate automation, integration, and optimization of business processes in order to support decision making, increase operational efficiency, and lower the cost of doing business. In spite of the growing popularity, however, realization of the grand vision BPMSs ultimately seek to achieve calls for renewed focus on the holistic approach to continuous process improvement instead of on the process automation alone. In this paper, we present a framework, named xPIA (eXecutable Process Innovation Accelerator), which can effectively facilitate the continuous process improvement through enhancing monitoring capabilities for business data that can significantly affect process performances. In addition to the basic process-related data such as activity start and finish times, the proposed framework allows for monitoring other important business contents as well as events from various sources, including business process definitions, forms and documents, database management systems, enterprise applications, and web services. The presented results outline the key concepts and architectures of xPIA to realize such functionalities on top of contemporary BPMSs while at the same time addressing the implementation issues.
Year
DOI
Venue
2006
10.1007/978-3-540-73950-0_11
BIRTE
Keywords
Field
DocType
business process,track enterprise-wide business process,integrated approach,continuous process improvement,business performance monitoring,process automation,important business content,real-time enterprise,contemporary bpmss,process performance,business process definition,business data,business process management system,real time,business process management,relational data,management system,web service
Artifact-centric business process model,Business process management,Data mining,Business process,Computer science,Business process modeling,Business process discovery,Business rule,Business Process Model and Notation,Database,Business activity monitoring,Process management
Conference
Volume
ISSN
Citations 
4365
0302-9743
0
PageRank 
References 
Authors
0.34
5
7
Name
Order
Citations
PageRank
Jonghun Park149137.86
Cheolkyu Jee210.69
Kwanho Kim336137.49
Seung-Kyun Han4192.08
Duksoon Im500.34
Wan Lee623217.15
Noyoon Kim700.34