TY  - BOOK
AU  - G.Schuetz,Christoph
ED  - SpringerLink (Online service)
TI  - Multilevel Business Processes: Modeling and Data Analysis 
SN  - 9783658110840
AV  - QA75.5-76.95 
PY  - 2015///
CY  - Wiesbaden
PB  - Springer Fachmedien Wiesbaden, Imprint: Springer Vieweg
KW  - Information systems
KW  - Software engineering
KW  - Artificial intelligence
KW  - Information Systems and Communication Service
KW  - Software Engineering/Programming and Operating Systems
KW  - Artificial Intelligence
N1  - Core Metamodel for Multilevel Objects -- Multilevel Business Artifacts -- Hetero-Homogeneous Business Process Models -- Multilevel Business Process Automation -- Multilevel Business Process Intelligence
N2  - Christoph G. Schuetz examines the conceptual modeling aspects of multilevel business processes without neglecting the implementation aspects. Furthermore, he investigates the advantages of hetero-homogeneous models for quantitative business process analysis. Multilevel models reflect the reality of many information systems. In this respect process-aware information systems are no exception. Multilevel models capture interdependencies between business processes at different organizational levels and allow for a convenient representation of business process variability which, in turn, facilitates the analysis of business processes across different organizational units. Contents Core Metamodel for Multilevel Objects Multilevel Business Artifacts Hetero-Homogeneous Business Process Models Multilevel Business Process Automation Multilevel Business Process Intelligence Target Groups Researchers and students in business informatics, computer science, and business administration. Business process management professionals The Author Christoph G. Schuetz is a postdoctoral researcher at the Department of Business Informatics – Data & Knowledge Engineering of the Johannes Kepler University Linz, Austria. His research interests include data warehousing, semantic web, business process management, and data privacy
UR  - https://doi.org/10.1007/978-3-658-11084-0
ER  -