Multilevel Business Processes: Modeling and Data Analysis

Author:   Christoph G. Schuetz
Publisher:   Springer Fachmedien Wiesbaden
Edition:   1st ed. 2015
ISBN:  

9783658110833


Pages:   232
Publication Date:   31 August 2015
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Multilevel Business Processes: Modeling and Data Analysis


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Overview

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.

Full Product Details

Author:   Christoph G. Schuetz
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Vieweg
Edition:   1st ed. 2015
Weight:   3.351kg
ISBN:  

9783658110833


ISBN 10:   365811083
Pages:   232
Publication Date:   31 August 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Core Metamodel for Multilevel Objects.- Multilevel Business Artifacts.- Hetero-Homogeneous Business Process Models.- Multilevel Business Process Automation.- Multilevel Business Process Intelligence.

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Author Information

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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