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Matching cognitively sympathetic individual styles to develop collective intelligence in digital communities

机译:匹配认知同情的个人风格,以发展数字社区中的集体智慧

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Creation, collection and retention of knowledge in digital communities is an activity that currently requires being explicitly targeted as a secure method of keeping intellectual capital growing in the digital era. In particular, we consider it relevant to analyze and evaluate the empathetic cognitive personalities and behaviors that individuals now have with the change from face-to-face communication (F2F) to computer-mediated communication (CMC) online. This document proposes a cyber-humanistic approach to enhance the traditional SECI knowledge management model. A cognitive perception is added to its cyclical process following design thinking interaction, exemplary for improvement of the method in which knowledge is continuously created, converted and shared. In building a cognitive-centered model, we specifically focus on the effective identification and response to cognitive stimulation of individuals, as they are the intellectual generators and multiplicators of knowledge in the online environment. Our target is to identify how geographically distributed—digital—organizations should align the individual's cognitive abilities to promote iteration and improve interaction as a reliable stimulant of collective intelligence. The new model focuses on analyzing the four different stages of knowledge processing, where individuals with sympathetic cognitive personalities can significantly boost knowledge creation in a virtual social system. For organizations, this means that multidisciplinary individuals can maximize their extensive potential, by externalizing their knowledge in the correct stage of the knowledge creation process, and by collaborating with their appropriate sympathetically cognitive remote peers.
机译:数字社区中知识的创建,收集和保留是一项活动,当前需要明确地将它作为目标,以确保智力资本在数字时代不断增长。特别是,我们认为,随着在线面对面交流(F2F)到在线计算机介导交流(CMC)的变化,分析和评估个人当前具有的移情认知个性和行为很重要。本文档提出了一种网络人文方法,以增强传统的SECI知识管理模型。在设计思维交互之后,认知感知被添加到其循环过程中,这是对不断创建,转换和共享知识的方法进行改进的示例。在建立以认知为中心的模型时,我们特别关注有效识别和响应个人的认知刺激,因为他们是在线环境中知识的知识生成者和乘数。我们的目标是确定在地理上分散的数字组织应如何协调个人的认知能力,以促进迭代并改善交互作用,以此作为集体智慧的可靠激励因素。新模型着重于分析知识处理的四个不同阶段,其中具有同情认知个性的个人可以显着促进虚拟社会系统中的知识创造。对于组织而言,这意味着跨学科的个人可以通过在知识创造过程的正确阶段外部化知识,并与他们适当的有同情心的认知远程同仁合作,来发挥其广泛的潜力。

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