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Blending BPMS with Social Software for Knowledge-Intense Work: Research Issues

机译:将BPM与社会软件混合,以获取知识激烈的工作:研究问题

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Knowledge-intense processes are by their very nature exploratory, non-repetitive in detail and not completely known in advance. Flexibility, effective knowledge management and efficient collaboration are important requirements of such processes. A typical flow-oriented BPMS, relying on the generation of a model a priori and imposing a specific sequence of tasks to process participants is not appropriate for such processes, as it does not align with their nature and cannot satisfy their requirements. Therefore, alternative approaches are explored by the research community. An emerging trend towards this direction is the incorporation of social software features in BPMS. However, bringing the BPMS and social software together is not a straightforward task in the context of knowledge-intense work. Several crucial issues arise that should be closely investigated for an appropriate approach to be developed ensuring an efficient execution of knowledge-intense processes. In this paper, a number of such issues are identified helping towards the detection of an effective and efficient solution when blending features from both software types.
机译:知识激烈的过程是他们非常自然的探索性,不重复,并没有提前完全了解。灵活性,有效的知识管理和高效合作是此类过程的重要要求。典型的流量导向的BPMS,依赖于模型的生成先验并强加对处理参与者的特定任务序列不合适,因为它与其性质不一致并且不能满足其要求。因此,研究界探讨了替代方法。对此方向的新兴趋势是在BPMS中纳入社会软件功能。然而,将BPMS和社会软件携带在知识激烈工作的背景下并不是一项直接的任务。出现了一些关键问题,应密切调查适当的方法,以确保有效执行知识激烈的过程。在本文中,在从两个软件类型混合特征时,识别了许多这样的问题有助于检测有效和有效的解决方案。

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