RBPMN: A role-based BPMN for integrating structure and behavior models

Digitalization transforms business processes substantially due to increasing customer demands for flexibility, new technologies (e.g., Intelligent Technologies) and emerging markets. Business process models are used to understand current processes and provide guidance for process improvements. A role-based extension of the de-facto standard business process modeling language BPMN is proposed that can support the business transformation and other modeling challenges. Bachmann and Daya (1977) introduced roles, which provide the basis for the extension. Steimann (2000) and Kühn (2017) increased the understanding of roles and provided an overview of roles' versatility. This work incorporates roles in business process modeling, thereby closing the gap between structural and behavioral modeling.:Contents List of figures II List of tables III 1 Introduction 1 2 Background 1 3 Business Process Modeling Challenges 3 3.1 Variety of Performers 3 3.2 Adaptability 4 3.3 Context-Awareness 4 4 Proposing Roles as a Solution 5 5 The Role-based Business Process Model and Notation 7 5.1 BPMN Extension Mechanism 8 5.2 Composition of Roles in a Business Process 9 5.2.1 Active Roles 9 5.2.2 Passive Roles 9 5.3 Connector Elements 10 5.3.1 Role Prohibition 10 5.3.2 Role Inheritance 10 5.3.3 Role Condition 10 5.4 Location Role 10 5.5 Role Start Event 10 5.6 Gateways 11 5.7 RBPMN Syntax 11 5.8 Process Role Hierarchy 12 6 Role-Feature Integration 12 7 Modeling Case Study 14 8 Discussion 16 9 Conclusion 17 10 Acknowledgments 18 References I

Evolution of enterprise architecture for intelligent digital systems

Intelligent systems and services are the strategic targets of many current digitalization efforts and part of massive digital transformations based on digital technologies with artificial intelligence. Digital platform architectures and ecosystems provide an essential base for intelligent digital systems. The paper raises an important question: Which development paths are induced by current innovations in the field of artificial intelligence and digitalization for enterprise architectures? Digitalization disrupts existing enterprises, technologies, and economies and promotes the architecture of cognitive and open intelligent environments. This has a strong impact on new opportunities for value creation and the development of intelligent digital systems and services. Digital technologies such as artificial intelligence, the Internet of Things, service computing, cloud computing, blockchains, big data with analysis, mobile systems, and social business network systems are essential drivers of digitalization. We investigate the development of intelligent digital systems supported by a suitable digital enterprise architecture. We present methodological advances and an evolutionary path for architectures with an integral service and value perspective to enable intelligent systems and services that effectively combine digital strategies and digital architectures with artificial intelligence