基于复杂自适应系统方法的智能信息系统社会分析框架

Somayeh Koohborfardhaghighi, J. Altmann, K. Tserpes
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引用次数: 1

摘要

人力资源管理部门的员工档案记录包含有关该员工过去在企业内活动的信息。这些概要文件记录对于任何企业来说都是有价值的信息来源。利用这些信息需要一个智能的企业信息系统。在本研究中,我们强调运用动态社会影响理论对企业内部员工知识库进行详细分析的重要性。我们认为,企业在人力资本和社会资本方面的知识基础越丰富,它就越能使员工在团队工作中发挥创造性和创新性。我们提出了一个框架,用于有效地为大企业不断变化的知识库建模,以提供最佳和自动化的团队组成技术。我们的讨论涵盖了从数据管理和知识建模,通过图形分析,到决策支持服务的完整管道。
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Social analytics framework for intelligent information systems based on a complex adaptive systems approach
An employee profile record within a human resource management department includes information about the employee's past activities within the enterprise. These profile records are valuable sources of information for any enterprise. Using this information requires an intelligent enterprise information system. In this study, we emphasize the importance of having detailed analyses on the employees' knowledge base within an enterprise by applying dynamic social impact theory. We argue that the richer the knowledge base within an enterprise with respect to its human and social capital is, the more it can empower its employees to be creative and innovative during group works. We propose a framework for effectively modeling the ever-changing knowledge bases of big enterprises for delivering optimal and automated team composition techniques. Our discussions cover the complete pipeline from data management and knowledge modeling, via graph analysis, to decision support services.
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