1.

Record Nr.

UNINA9910337565703321

Autore

Wang Wei

Titolo

Integrating Business Process Models and Rules [[electronic resource] ] : Empirical Evidence and Decision Framework / / by Wei Wang

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-030-11809-6

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (XII, 127 p. 63 illus., 8 illus. in color.)

Collana

Lecture Notes in Business Information Processing, , 1865-1348 ; ; 343

Disciplina

005.1

Soggetti

Software engineering

Application software

Management information systems

Industrial management

Software Engineering

Information Systems Applications (incl. Internet)

Business Process Management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

1 INTRODUCTION -- 1.1 BACKGROUND -- 1.2 AIM AND OBJECTIVES OF THE RESEARCH -- 1.3 THESIS STRUCTURE -- 2 LITERATURE REVIEW -- 2.1 OVERVIEW -- 2.2 BUSINESS PROCESS MODELS -- 2.3 BUSINESS PROCESS UNDERSTANDING -- 2.4 BUSINESS RULES -- 2.5 BUSINESS PROCESS MODEL AND BUSINESS RULE INTEGRATION -- 2.6 INTEGRATION APPROACHES -- 2.7 CHAPTER SUMMARY -- 3 METHODOLOGY -- 3.1 RESEARCH METHOD OF STUDY 1 – EXPERIMENT -- 3.2 RESEARCH METHOD OF STUDY 2 – SYSTEMATIC LITERATURE REVIEW AND SURVEY -- 3.3 RESEARCH METHOD OF STUDY 3 – DESIGN SCIENCE -- 3.4 CHAPTER SUMMARY -- 4 RULE INTEGRATION AND MODEL UNDERSTANDING: A THEORETICAL UNDERPINNING -- 4.1 OVERVIEW -- 4.2 RELATED THEORIES -- 4.3 PROCESS MODELS AND RULES UNDERSTANDING -- 4.4 CHAPTER SUMMARY -- 5 THE EFFECT OF RULE LINKING ON BUSINESS PROCESS MODEL UNDERSTANDING -- 5.1 OVERVIEW -- 5.2 HYPOTHESES DEVELOPMENT -- 5.3 APPROACH -- 5.4 RESULT ANALYSIS -- 5.5 CHAPTER SUMMARY -- 6 IDENTIFICATION



OF FACTORS AFFECTING BUSINESS PROCESS AND BUSINESS RULE INTEGRATION -- 6.1 OVERVIEW -- 6.2 APPROACH -- 6.3 BUSINESS RULE MODELLING FACTORS -- 6.4 EMPIRICAL VALIDATION OF FACTORS -- 6.5 BUSINESS RULE EMBEDDING GUIDELINES -- 6.6 CHAPTER SUMMARY -- 7 A BUSINESS RULE MODELLING DECISION FRAMEWORK -- 7.1 OVERVIEW -- 7.2 PROBLEM IDENTIFICATION AND DEFINITION OF OBJECTIVES -- 7.3 THE DESIGN AND DEVELOPMENT OF THE DECISION FRAMEWORK -- 7.4 THE DECISION FRAMEWORK DEMONSTRATION -- 7.5 THE DECISION FRAMEWORK EVALUATION -- 7.6 CHAPTER SUMMARY -- 8 CONCLUSION -- 8.1 OVERVIEW -- 8.2 SUMMARY OF CONTRIBUTIONS -- 8.3 RESEARCH LIMITATIONS AND FUTURE WORK -- REFERENCES -- APPENDIX A ONLINE SURVEY -- APPENDIX B EXPERIMENT MATERIALS.

Sommario/riassunto

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.