Abstract
Business capability models are widely used in enterprise architecture management to generate an abstract overview of an organization’s business activities to reach its business objectives. The creation and maintenance of these models are associated with a huge manual workload. Research provides insights into opportunities for automated modeling of enterprise architecture models. However, most models address the application and technology layer and leave the business layer largely unexplored. Particularly, no research has been conducted on the automated generation of business capability models. This research paper uses 19 semi-structured expert interviews to identify possible automated modeling opportunities of business capabilities and related challenges and to jointly develop a business capability mining approach. This research benefit both, practice and research, by describing a situation-based business capability mining approach and identifying appropriate implementation scenarios.
Recommended Citation
Drieschner, Clemens; Sensoy, Mert; Weking, Jörg; and Krcmar, Helmut, "Business Capability Mining - Opportunities and Challenges" (2023). ECIS 2023 Research Papers. 388.
https://aisel.aisnet.org/ecis2023_rp/388