ACIS 2024 Proceedings
Abstract
Organizations constantly face changes arising from the environment and from within. The degree of environmental change has increased due to technological innovation and other factors, like the introduction of new regulations. These changes directly influence the business processes of organizations and often make transformations necessary. To carry out such transformations, the first step is to identify the tasks involved. Several automatic methods have been introduced in the literature to identify tasks affected by specific changes. Still, general methods that can be applied to different types of change are lacking. The introduction of new technologies, like large language models, makes such general methods feasible. Consequently, in this research, we first present the design requirements and principles for a procedural model for automatic context-specific task identification based on insights from the literature and propose such a model. Finally, we conduct an initial evaluation and derive the next steps for this research.
Recommended Citation
Nake, Leonard; Kühnel, Stephan; and Sackmann, Stefan, "Towards a Procedural Model for Automatic Context-specific Task Identification based on Natural Language Documents in Business Process Management" (2024). ACIS 2024 Proceedings. 173.
https://aisel.aisnet.org/acis2024/173