Supporting Knowledge-intensive Processes Through Integrated Task Lifecycle Support

Mundbrod, Nicolas and Beuter, Florian and Reichert, Manfred (2015) Supporting Knowledge-intensive Processes Through Integrated Task Lifecycle Support. In: Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (EDOC 2015), September 23-25, 2015, Adelaide.

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The operational support of knowledge-intensive business processes constitutes a big challenge. In particular, these processes are driven by knowledge workers utilizing their skills, experiences, and expertise. Regarding coordination and synchronization, in turn, knowledge workers still rely on simple task lists (e.g., to-do lists or checklists) and established communication software (e.g., email). While these means are prevalent and intuitive, they are ineffective and error-prone as well. Neither tasks are made explicit, synchronized, personalized, nor are they independent from media breaks. Most important, a task management lifecycle is not provided, i.e., the efforts and knowledge invested by the knowledge workers in task management are not preserved for comparable future endeavors. This work introduces the proCollab approach proposing a systematic and lifecycle-based task management support for knowledge workers. To establish a sound task management lifecycle, in particular, we apply process mining to analyze knowledge workers' changes applied to task lists in order to derive optimizations task list templates. To demonstrate feasibility and benefits, a proof-of-concept prototype was developed and applied. Overall, the integrated, systematic and lifecycle-based task management support is prerequisite for the effective IT support of KiBPs.

Item Type: Conference or Workshop Item (Paper)
Subjects: DBIS Research > Publications
Divisions: Faculty of Engineering, Electronics and Computer Science > Institute of Databases and Informations Systems
Depositing User: Nicolas Mundbrod
Date Deposited: 07 Aug 2015 16:31
Last Modified: 03 Nov 2015 06:52

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