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Titlebook: Integrating Business Process Models and Rules; Empirical Evidence a Wei Wang Book 2019 Springer Nature Switzerland AG 2019 business process

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Methodology,del understanding; (2) identify and evaluate factors that will influence the decision of whether or not a business rule should be integrated with a business process model; (3) develop a decision framework that guides modellers on whether or not to integrate a business rule with a business process mo
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The Effect of Rule Linking on Business Process Model Understanding,Then we present our experiment investigating the effect of rule linking, a specific rule integration approach which uses graphical links to connect process model symbols with rules, on process model understanding. Our objective is two-fold. First, we test if linked rules can improve a model user’s u
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A Business Rule Modelling Decision Framework,modellers on whether to integrate a business rule with a business process model and how to integrate towards achieving the benefits of integrated modelling. As this study related to the design of an artefact, the research methodology of this study is Design Science. Design Science is the research me
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Conclusion,elling approaches as they address distinct aspects of organizational practices. The conceptual and pragmatic overlap between business process models and business rules indicates a need to model the two related aspects together. While researchers have argued that integrated modelling of business proc
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Literature Review,introduce business rules, which play an important role in process understanding, and we include the definitions and classifications of business rules. Finally, we introduce the arguments for the integration of business process models and business rules, and three types of integration approaches.
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Identification of Factors Affecting Business Process and Business Rule Integration,modelling and business rule modelling. First we present the methodology for factor identification, evaluation and decision analysis. Then we present the factors, followed by the empirical evaluation. Finally, we provide six guidelines based on the data analysis from the evaluation.
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