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Workflow-supported social networks: Discovery, analyses, and system

机译:工作流支持的社交网络:发现,分析和系统

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Technology-supported social networks have been penetrating many aspects of our lives from friendships/blogging sites to working places. The recent BAI (business analytics and business intelligence) systems have also supported the activities of analyzing the social networking issues on employees of companies and their work-sharing relationships, and have used the analyzed issues as a sort of organizational knowledge to deliver quantum improvements in decision-makings and organizational performances. Accordingly this paper focuses on a special type of social networking knowledge called "workflow-supported social network" that is formed through the deployments and operations of workflow and BPM (business process management) technologies on a workflow-supported organization. In this paper, we formalize a theoretical framework coping with discovery phase and analysis phase, and conceive a series of formalisms and algorithms for representing, discovering, and analyzing the workflow-supported social network. As a theoretical basis, it uses the conceptual methodology of information control nets that used to formally describe workflow procedures and business processes. The theoretical framework is expansively implemented in the name of a systematic framework that is able to automatically discover a workflow-supported social network from an XPDL-based workflow package, construct SocioMatrices from the discovered workflow-supported social network, analyze the SocioMatrices, and visualize the workload centrality measures of all the actors in the corresponding workflow-supported social network. In order to verify the correctnesses of all the discovery algorithms, analysis equations, and the implemented system, we carried out two operational examples. One is for the theoretical framework, the other is for the systematic framework. We applied the theoretical framework to an information control net model of the typical enterprise Hiring workflow procedure, and presented its analyzed results and visualizations. At the same time, by the implemented. system we analyzed an XPDL-based workflow package fulfilled by 17 participants, which comprises two imaginary workflow models: Hiring workflow procedure and Presentation workflow procedure consisting of 17 activities and 7 activities, respectively. The analyzed outputs are presented via a series of the captured screen-snapshots produced from the system. Finally, the paper summarizes the implications of the workflow-supported social networking knowledge and how much it is worth in improving decision-makings and organizational performances of workflow-supported organizations and enterprises. (C) 2016 Elsevier Ltd. All rights reserved.
机译:技术支持的社交网络已经渗透到我们生活的方方面面,从友谊/博客站点到工作场所。最近的BAI(业务分析和商业智能)系统还支持对公司员工及其工作共享关系上的社交网络问题进行分析的活动,并将已分析的问题作为一种组织知识用于在以下方面实现量子改进决策和组织绩效。因此,本文重点介绍一种称为“工作流支持的社交网络”的特殊类型的社交网络知识,该知识是通过在工作流支持的组织上部署工作流和BPM(业务流程管理)技术而形成的。在本文中,我们通过形式化理论框架来应对发现阶段和分析阶段,并构想了一系列表示,发现和分析工作流支持的社交网络的形式主义和算法。作为理论基础,它使用信息控制网的概念方法,该方法用于正式描述工作流程和业务流程。该理论框架是以系统框架的名义广泛实施的,该系统框架能够从基于XPDL的工作流程包中自动发现工作流程支持的社交网络,从发现的工作流程支持的社交网络构建SocioMatrices,分析SocioMatrices并可视化工作流支持的社交网络中所有参与者的工作量集中度度量。为了验证所有发现算法,分析方程式和所实现系统的正确性,我们执行了两个操作示例。一个用于理论框架,另一个用于系统框架。我们将理论框架应用于典型的企业招聘工作流程过程的信息控制网络模型,并给出了其分析结果和可视化效果。同时,由执行。系统中,我们分析了17位参与者完成的基于XPDL的工作流程包,其中包括两个假想的工作流程模型:雇用工作流程过程和Presentation工作流程过程,分别由17个活动和7个活动组成。分析的输出通过从系统生成的一系列捕获的屏幕快照呈现。最后,本文总结了工作流支持的社交网络知识的含义,以及在改进工作流支持的组织和企业的决策和组织绩效方面的价值。 (C)2016 Elsevier Ltd.保留所有权利。

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