Process Learning Environments
Purpose – Due to faster innovation cycles and competitive markets, current methods for implementing and adapting business processes can not keep pace with changing requirements and cause BPM solutions to falls short of business needs. The purpose of this paper is to propose a new approach for implementing an agile BPM methodology by substituting the plan-build-run approach with an incremental prototype-based model, removing intermediaries from the time critical path of business process evolution, and empowering end users to change business processes at runtime by manipulating process artefacts. Design/methodology/approach – Based on interviews with customers and stakeholders and our experience in implementing complex BPM solutions in SMEs, we propose key concepts for an agile BPM approach and derive basic requirements for implementing a BPM system that allows users to redefine business processes during their execution. This analysis is supplemented by a brief overview of current research trends in modelling and implementing agile BPM.. Originality/value – All existing solutions examined by our team imply a separate modelling step by users or process managers. The designed key concepts enable users to implicitly model processes without interrupting day to day operations. Our approach enables organisations to introduce business process management in areas where agility is very important (e.g. product development) or to increase operational agility in areas with established BPM. Practical implications – An agile BPM solution can give organisations the flexibility they need to react quickly to changing markets and customer needs. We want to help them to introduce standardization and efficiency without losing agility. In areas where classical BPM is in place, our approach can increase the adaptation rate of process changes. In the areas of knowledge workers with a high level of agility, our approach can increase efficiency by supporting knowledge sharing.
Daoud, Eduard: Process Learning Environments. Dresden, pp. 1-12, 2016.