Paper Number
1868
Abstract
Task mining is a technological innovation that combines current developments in process mining and data mining. Using task mining, the interactions of workers with their workstations can be recorded, processed, and linked with the business data of the organization. The approach can provide a holistic picture of the business processes and related tasks. Currently, there is no overview of application scenarios and the challenges of task mining. In our work, we reflect application scenarios as well as technological, legal, and organizational challenges of task mining using a structured literature review. The application areas include discovery of automation potentials, monitoring, as well as optimization of business processes. The challenges include the cleansing, collection, data protection, explainability, merging, organization, processing, and segmentation of task mining data.
Recommended Citation
Mayr, Alexander; Herm, Lukas-Valentin; Wanner, Jonas; and Janiesch, Christian, "Applications and Challenges of Task Mining: A Literature Review" (2022). ECIS 2022 Research-in-Progress Papers. 55.
https://aisel.aisnet.org/ecis2022_rip/55
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