Authors:
Rongjia Song
1
;
Jan Vanthienen
2
;
Weiping Cui
3
;
Ying Wang
4
and
Lei Huang
4
Affiliations:
1
Department of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing, China, Department of Decision Sciences and Information Management, Faculty of Economics and Business, KU Leuven, Leuven and Belgium
;
2
Department of Decision Sciences and Information Management, Faculty of Economics and Business, KU Leuven, Leuven and Belgium
;
3
State Grid Energy Research Institute, State Grid Corporation of China, Beijing and China
;
4
Department of Information Management, School of Economics and Management, Beijing Jiaotong University, Beijing and China
Keyword(s):
Decisions, Context-aware, Business Processes Management, Process Modeling, Decision Modeling.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Ubiquitous Computing
;
Web Information Systems and Technologies
Abstract:
Recently, Business Process Management (BPM) is moving towards the separation of concerns paradigm by externalizing the decisions from the process flow. Most notably, the introduction of the Decision Model and Notation (DMN) standard provides a solution and technique to model decisions and the process flow separately and consistently integrated. In the area of context-aware BPM, decisions are still considered within business processes in a traditional way. In this paper, we examine how context affects business processes at design time and at run time. Different types of decisions influence the context-aware effect on business processes in their own way. Through analyzing these effects, we have observed that decisions play key roles in the ecosystem of context-aware BPM, including identifying the need of context-awareness, anticipating possible context-dependent variants and the contextualization of a business process. We also examine the opportunity to apply the DMN technique in conte
xt-aware BPM.
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