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Integrating Business Process Models and Rules

Empirical Evidence and Decision Framework

  • Book
  • © 2019

Overview

Authors:
  1. Wei Wang

    1. School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia

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  • Revised PhD dissertation
  • Received the CAiSE PhD award for an outstanding thesis in the field of Information Systems Engineering
  • Deals with open rewearch questions of integration methods

Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 343)

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-XII
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  2. Introduction

    • Wei Wang
    Pages 1-8

  3. Literature Review

    • Wei Wang
    Pages 9-28

  4. Methodology

    • Wei Wang
    Pages 29-33

  5. Rule Integration and Model Understanding: A Theoretical Underpinning

    • Wei Wang
    Pages 34-41

  6. The Effect of Rule Linking on Business Process Model Understanding

    • Wei Wang
    Pages 42-59

  7. Identification of Factors Affecting Business Process and Business Rule Integration

    • Wei Wang
    Pages 60-72

  8. A Business Rule Modelling Decision Framework

    • Wei Wang
    Pages 73-93

  9. Conclusion

    • Wei Wang
    Pages 94-99

  10. Back Matter

    Pages 101-127
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Keywords

About this book

This book combines multiple research methods, experiment, survey, and design science, as well as traditional measurements and neurophysiological techniques that can capture a variety of cognitive behaviors in human information processing, providing more solid and comprehended research findings. While the focus of the book is the modelling of process models and rules, the methods and techniques used in this book can also be adopted and applied to broader conceptual modelling research incorporating a variety of notations (e.g. UML, ER diagrams) or ontologies.

It is a revised version of the PhD dissertation written by the author at the School of Information Technology and Electrical Engineering of the University of Queensland, Australia. In 2018, the PhD dissertation won the “CAiSE PhD Award,” granted to outstanding PhD theses in the field of information systems engineering.

Authors and Affiliations

  • School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia

    Wei Wang

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