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arXiv 2406.01786cs.DBcs.AI
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数据驱动业务流程管理的最新进展

Recent Advances in Data-Driven Business Process Management

University of Bayreuth(拜罗伊特大学);FIM Research Center(FIM研究中心);University of Applied Sciences Augsburg(奥格斯堡应用技术大学);Fraunhofer FIT(弗劳恩霍夫应用信息技术研究所);Friedrich-Alexander University Erlangen-Nürnberg(埃尔朗根-纽伦堡弗里德里希-亚历山大大学);University of Regensburg(雷根斯堡大学)
Lars Ackermann, Martin Käppel, Laura Marcus, Linda Moder, Sebastian Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl, Lukas-Valentin Herm… 展开作者

Lars Ackermann, Martin Käppel, Laura Marcus, Linda Moder, Sebastian Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl, Lukas-Valentin Herm, Nicolas Neis, Julian Neuberger, Leo Poss, Myriam Schaschek, Sven Weinzierl, Niklas Wördehoff, Stefan Jablonski, Agnes Koschmider, Wolfgang Kratsch, Martin Matzner, Stefanie Rinderle-Ma, Maximilian Röglinger, Stefan Schönig, Axel Winkelmann

AI总结:

本立场论文探讨了前沿技术与新型数据源增长带来的管理范式转变,指出其对作为组织核心的业务流程管理(BPM)的深刻影响,并针对数据驱动BPM这一复杂跨学科研究领域提出了相关研究见解。

摘要:

前沿技术的快速发展、数据量的不断增长,以及新型数据源的可用性和可处理性,导致了基于数据的管理和决策发生范式转变。由于业务流程是组织工作的核心,这些发展严重影响了作为组织关键成功因素的BPM。鉴于这种新兴潜力,数据驱动的业务流程管理已成为一个相关且充满活力的研究领域。鉴于该研究领域的复杂性和跨学科性,因此本立场论文提出了关于数据驱动BPM的研究见解。

英文摘要:

The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm shift in data-based management and decision-making. Since business processes are at the core of organizational work, these developments heavily impact BPM as a crucial success factor for organizations. In view of this emerging potential, data-driven business process management has become a relevant and vibrant research area. Given the complexity and interdisciplinarity of the research field, this position paper therefore presents research insights regarding data-driven BPM.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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