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arXiv 1009.2631cs.CYcs.IRphysics.soc-phq-fin.GN
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Google业务流程管理矩阵

Google matrix of business process management

M. Abel, D. L. Shepelyansky

摘要:

开发有效的业务流程模型和确定其特征属性是激烈的跨学科研究的主题。在这里,我们将业务流程模型视为有向图。它的节点对应于由建模器识别的单元,并且链接方向指示单元之间的因果依赖关系。它是主要的兴趣,以获得这样一个有向图上的平稳流,这对应于一个企业在业务过程中的稳态。根据最近开发的万维网的想法,我们构建了我们的业务流程模型的谷歌矩阵,并分析其光谱特性。节点的重要性分别由Page-Rank和最近提出的CheiRank和2DRank来表征。结果表明,这种二维排名提供了有关商业模式单元影响力和传播特性的重要信息。我们认为,谷歌矩阵方法,这里描述的,提供了一个新的有效的工具,帮助企业作出决定,如何在极其动态的全球市场的发展。

英文摘要:

Development of efficient business process models and determination of their characteristic properties are subject of intense interdisciplinary research. Here, we consider a business process model as a directed graph. Its nodes correspond to the units identified by the modeler and the link direction indicates the causal dependencies between units. It is of primary interest to obtain the stationary flow on such a directed graph, which corresponds to the steady-state of a firm during the business process. Following the ideas developed recently for the World Wide Web, we construct the Google matrix for our business process model and analyze its spectral properties. The importance of nodes is characterized by Page-Rank and recently proposed CheiRank and 2DRank, respectively. The results show that this two-dimensional ranking gives a significant information about the influence and communication properties of business model units. We argue that the Google matrix method, described here, provides a new efficient tool helping companies to make their decisions on how to evolve in the exceedingly dynamic global market.

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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