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Organization-driven business process configurable modeling for spatial variability
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DOI：10.23919/JCC.2021.11.016.png)
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Abstract
En 中文
Nowadays, enterprises need to continually adjust their business processes to adapt to the changes of business environments, especially when one business needs to be deployed in different application scenarios, which is called spatial variability in this paper. In the field of BPM (Business Process Management), configurable business process models have demonstrated their effectiveness in aspects of process modeling and model reuse. Yet, we found that the existing techniques lead to complex configurable models, and are inadequate for model reuse especially for the spatial variability issue because they neglect the root impact of organizations on control flow. S-BPM (Subject-oriented Business Process Management) models provide a solid foundation for dealing with complex applications and help to bridge the gap between business and IT for process execution. In this paper, we propose an organization-driven business process configurable modeling approach for spatial variability by integrating both restriction and extension operations based on the S-BPM paradigm, in which business objects are also included. Our approach is validated with a general business process developed for the Real Estate Administration (REA) in a certain province of China. The resulting configurable modeling framework can express the heterogeneous activity sequences for one business and has the potential to generate process models for uncertain environments in a new organization structure.
Keywords:
Organizations
Urban areas
Data models
Task analysis
Process modeling
Context modeling
Adaptation models
S-BPM
configurable modeling
organization-driven
spatial variability
business objects
services