Nudging can be integrated into the different phases of the Business Process Management (BPM) lifecycle to guide stakeholders and process participants towards more environmentally sustainable business processes.
This study provides a comprehensive overview of the state-of-the-art in system-initiated resource allocation approaches for business processes, analyzing their supported allocation capabilities, optimization goals, use of process models and execution data, input data, solution techniques, and evaluation methods.
Leveraging semantic stories from event logs improves next activity prediction in business processes.
The author argues that integrating Large Language Models (LLMs) into process modeling can enhance flexibility, efficiency, and accessibility for both expert and non-expert users. The main thesis is that LLMs have the transformative potential to streamline process modeling tasks and revolutionize Business Process Management (BPM).