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Author Schuetz, Christoph G., author

Title Multilevel business processes : modeling and data analysis / Christoph G. Schuetz ; with a foreword by Prof. Dr. Michael Schrefl
Published Wiesbaden : Springer Vieweg, [2015]
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Description 1 online resource
Series Research
Research (Wiesbaden, Germany)
Contents Core Metamodel for Multilevel Objects -- Multilevel Business Artifacts -- Hetero-Homogeneous Business Process Models -- Multilevel Business Process Automation -- Multilevel Business Process Intelligence
Summary 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
Notes Dissertation Johannes Kepler Universit├Ąt Linz 2015
Bibliography Includes bibliographical references
Notes Vendor-supplied metadata
Subject Business -- Data processing.
Management information systems.
Workflow -- Management.
Genre/Form Academic theses.
Form Electronic book
ISBN 365811083X (print)
3658110848 (electronic bk.)
9783658110833 (print)
9783658110840 (electronic bk.)