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020 _a9783030118099
_9978-3-030-11809-9
024 7 _a10.1007/978-3-030-11809-9
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
072 7 _aUMZ
_2thema
082 0 4 _a005.1
_223
100 1 _aWang, Wei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntegrating Business Process Models and Rules
_h[electronic resource] :
_bEmpirical Evidence and Decision Framework /
_cby Wei Wang.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXII, 127 p. 63 illus., 8 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Business Information Processing,
_x1865-1356 ;
_v343
505 0 _a1 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 BUSINESSRULE 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.
520 _aThis 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.
650 0 _aSoftware engineering.
650 0 _aApplication software.
650 0 _aInformation technology
_xManagement.
650 1 4 _aSoftware Engineering.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aBusiness Process Management.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030118082
776 0 8 _iPrinted edition:
_z9783030118105
830 0 _aLecture Notes in Business Information Processing,
_x1865-1356 ;
_v343
856 4 0 _uhttps://doi.org/10.1007/978-3-030-11809-9
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