Ciclos tecnológicos e evolução da base de conhecimento

IF 0.2 Q4 BUSINESS
Vanessa de Lima Avanci, Ana Urraca-Ruiz
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引用次数: 0

Abstract

Knowledge bases are highly complex systems and represent combinations, arrangements of units of knowledge to solve problems in specific periods of time. When technological cycles advance, knowledge bases evolve. In the past 30 years, we have identified two technological waves. The first started with the seven technological paradigms of the 1980s (microelectronics, computers, telecommunications, audiovisual, new materials, semiconductors and biotechnology). The second emerged with the so-called key enabling technologies (nanotechnology, micro and nanoelectronic, industrial biotechnology, photonics, advanced materials and advanced manufacturing) from the 2000s. This article analyzes the evolution of properties and the complexity of the world knowledge base between 1978- 2016, considering the emergence of these paradigms. Using patent data and network analysis, the work calculates indicators of variety, coherence, cognitive distance and convergence of the knowledge base. The results confirm that the technological paradigms of the 1980s led to an increase in the diversification and complexity of the knowledge base through an 'outward' convergence, that is, between unrelated technologies. The arrival of the microparadigms of the 2000s reveals a retraction of the knowledge base that evolves 'inwards', that is, through trajectories previously established.
技术周期和知识库的演变
知识库是高度复杂的系统,代表了在特定时期解决问题的知识单元的组合和安排。随着技术周期的推进,知识库也在不断发展。在过去的30年里,我们发现了两个技术浪潮。第一次始于20世纪80年代的七大技术范式(微电子、计算机、电信、视听、新材料、半导体和生物技术)。第二次是随着所谓的关键使能技术(纳米技术、微纳米电子、工业生物技术、光子学、先进材料和先进制造)从2000年代开始出现的。考虑到这些范式的出现,本文分析了1978年至2016年间世界知识库属性和复杂性的演变。利用专利数据和网络分析,计算了知识库的多样性、一致性、认知距离和收敛性指标。研究结果证实,20世纪80年代的技术范式通过“向外”趋同(即不相关技术之间的趋同)导致了知识基础的多样化和复杂性的增加。21世纪初微观范式的到来揭示了“向内”进化的知识基础的退缩,即通过先前建立的轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
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发文量
19
审稿时长
2 weeks
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