A Social Transformation-Emergence of the Knowledge Society

H. Yamaguchi, Darius Mahdjoubi, C. Ramamoorthy
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Abstract

The evolution and dominance of service functions in addition to their distinguishing features has been the subject of study for years. Service functions aim to satisfy and facilitate the needs of their customers. In doing so, service providers design the service functions so that the customers feel comfortable and convenient when using them. The evolution of technology and automation has enabled functions like knowledge-intensive man-machine interactions to be flexible and user friendly. In this paper, we discuss a wide range of interconnected topics, emphasizing the multifaceted nature of service functions. These areas include the evolution of service functions and their associated systems and products, as wall as the consequent creation of implicit requirements, the technology transfer process, and the error proneness due to intense and prolonged interaction. We argue that by proper 'humanization and personalization' the service-based interactive systems can be made easy for the customer to use and enjoy personalized services. We introduce an anonymous opinion survey mechanism for encouraging new service industry. We conclude that the existence of a strong interaction between knowledge and technology growths is shown by 'The Kozmetsky Effect' model and consider the methodology to accelerate the convergence of knowledge-technology transfer phases at the Kozmetsky Effect model
社会转型——知识社会的出现
多年来,服务功能的演变和支配地位以及它们的显著特征一直是人们研究的主题。服务功能旨在满足和促进客户的需求。在此过程中,服务提供商设计服务功能,使客户在使用时感到舒适和方便。技术和自动化的发展使知识密集型人机交互等功能变得灵活和用户友好。在本文中,我们讨论了广泛的相互关联的主题,强调了服务功能的多面性。这些领域包括服务功能及其相关系统和产品的演变,以及由此产生的隐性需求、技术转移过程以及由于激烈和长时间的相互作用而产生的错误倾向。我们认为,通过适当的“人性化和个性化”,可以使基于服务的交互系统易于客户使用并享受个性化服务。我们引入匿名意见调查机制,鼓励新兴服务业。我们得出结论,知识和技术增长之间存在强烈的相互作用,这是由“科兹梅茨基效应”模型显示的,并考虑了加速知识和技术转移阶段趋同的方法在科兹梅茨基效应模型
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