Multilevel Business Processes
Christoph G. Schuetz
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Description for Multilevel Business Processes
Paperback. Num Pages: 256 pages, 42 black & white illustrations, 19 black & white tables, biography. BIC Classification: UMA; UMZ; UT. Category: (P) Professional & Vocational. Dimension: 210 x 148. Weight in Grams: 339.
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.
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.
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
256
Condition
New
Number of Pages
232
Place of Publication
Weisbaden, Germany
ISBN
9783658110833
SKU
V9783658110833
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Christoph G. Schuetz
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.
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