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Supporting Knowledge-Intensive Processes through Integrated Task Lifecycle Support

机译:通过集成的任务生命周期支持来支持知识密集型流程

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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 pro Collab 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.
机译:知识密集型业务流程的运营支持构成了巨大的挑战。特别是,这些过程是由知识工作者利用他们的技能,经验和专业知识来驱动的。在协调和同步方面,知识工作者仍然依赖简单的任务列表(例如,待办事项列表或清单)和已建立的通信软件(例如,电子邮件)。尽管这些手段普遍存在且直观,但它们无效且容易出错。既没有明确,同步,个性化的任务,也没有独立于媒体休息的任务。最重要的是,没有提供任务管理的生命周期,即,没有保留知识工作者在任务管理中投入的努力和知识,以供未来的类似工作之用。这项工作介绍了Pro Collab方法,为知识工作者提出了系统的,基于生命周期的任务管理支持。为了建立良好的任务管理生命周期,尤其是,我们使用过程挖掘来分析知识工作者对应用于任务列表的更改,以得出优化任务列表模板。为了证明可行性和益处,开发并应用了概念验证原型。总体而言,集成的,系统的,基于生命周期的任务管理支持是KiBP有效IT支持的先决条件。

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