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Investigating the Evolving Knowledge Structures in New Technology Development

机译:研究新技术发展中不断发展的知识结构

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The development of new technology has been identified as one of the key enablers to support business and economic growth in developed countries. For example, the United Kingdom (UK) has invested £968 Million into the creation of Catapult centres to provide 'pull through' of low Technology Readiness Level (TRL) research and science. While these Catapults have been instrumental in developing new technologies, the uptake of new technology within industry remains a considerable challenge. One of the reasons for this is that of skills and competencies, and in particular, defining the new skills and competencies necessary to effectively apply and operate the new technology within the context of the business. Addressing this issue is non-trivial because the skills and competencies cannot be defined a priori and will evolve with the maturity of the technology. Therefore, there is a need to create methods that enable the elicitation and definition of skills and competencies that co-evolve with new technology development, and what are referred to herein as knowledge structures. To meet this challenge, this paper reports the results from a dynamic co-word network analysis of the technical documentation from New Technology Development (NTD) programmes at the National Composites Centre (NCC). Through this analysis, emerging knowledge structures can be identified and monitored, and be used to inform industry on the skills & competencies required for a technology.
机译:新技术的开发已被确定为支持发达国家商业和经济增长的主要推动力之一。例如,英国(UK)投资了9.68亿英镑用于建立弹射器中心,以提供低技术准备水平(TRL)研究和科学的“拉开”能力。尽管这些弹射器有助于开发新技术,但在行业内采用新技术仍然是一个巨大的挑战。原因之一是技能和能力,尤其是定义在业务范围内有效应用和操作新技术所需的新技能和能力。解决这个问题并非易事,因为无法先验地定义技能和能力,并且会随着技术的成熟而发展。因此,需要创建一种方法,该方法能够引发和定义与新技术发展共同发展的技能和能力以及在本文中称为知识结构的能力。为了应对这一挑战,本文报告了对国家复合材料中心(NCC)的新技术开发(NTD)程序的技术文档进行动态共词网络分析的结果。通过这种分析,可以识别和监控新兴的知识结构,并将其用于向行业提供技术所需的技能和能力的信息。

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