Integrating Business Process Models and Rules: Empirical Evidence and Decision Framework

Description

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. Front Matter ....Pages I-XII Introduction (Wei Wang)....Pages 1-8 Literature Review (Wei Wang)....Pages 9-28 Methodology (Wei Wang)....Pages 29-33 Rule Integration and Model Understanding: A Theoretical Underpinning (Wei Wang)....Pages 34-41 The Effect of Rule Linking on Business Process Model Understanding (Wei Wang)....Pages 42-59 Identification of Factors Affecting Business Process and Business Rule Integration (Wei Wang)....Pages 60-72 A Business Rule Modelling Decision Framework (Wei Wang)....Pages 73-93 Conclusion (Wei Wang)....Pages 94-99 Back Matter ....Pages 101-127