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Multilevel Business Processes

Modeling and Data Analysis

  • Book
  • © 2015

Overview

Authors:
  1. Christoph G. Schuetz

    1. Johannes Kepler Universität, Linz, Austria

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  • Publication in the field of technical sciences

  • Includes supplementary material: sn.pub/extras

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XXIV
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  2. Introduction

    • Christoph G. Schuetz
    Pages 1-9

  3. Background

    • Christoph G. Schuetz
    Pages 11-17

  4. Modeling

    1. Front Matter

      Pages 19-19
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    2. Multilevel Object Core

      • Christoph G. Schuetz
      Pages 21-55

    3. Multilevel Business Artifacts

      • Christoph G. Schuetz
      Pages 57-104

    4. Hetero-Homogeneous Business Process Models

      • Christoph G. Schuetz
      Pages 105-129

    5. XML Representation

      • Christoph G. Schuetz
      Pages 131-168

  5. Data Analysis

    1. Front Matter

      Pages 169-169
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    2. Multilevel Business Process Automation

      • Christoph G. Schuetz
      Pages 171-195

    3. Multilevel Business Process Intelligence

      • Christoph G. Schuetz
      Pages 197-211

  6. Back Matter

    Pages 213-232
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Keywords

About this book

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.

Authors and Affiliations

  • Johannes Kepler Universität, Linz, Austria

    Christoph G. Schuetz

About 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.

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