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The impact of knowledge attributes and life cycle on the evolution of emerging technology innovation network: a TERGM analysis
Journal of Knowledge Management ( IF 6.6 ) Pub Date : 2024-12-03 , DOI: 10.1108/jkm-06-2024-0696
Yaqin Liu, Qian Yu, Jing Li

Purpose

This study aims to explore the factors influencing the evolution of emerging technology innovation network (ETIN) in combination with the key attributes and life cycle of emerging technologies, particularly the impact of multiple knowledge attributes and technology life cycle on the ETIN evolution.

Design/methodology/approach

This study collects 5G patent data and their citation information from the Derwent Innovations Index to construct a 5G technology innovation network (5GIN) as a sample network and conducts an empirical analysis of the 5GIN using the temporal exponential random graph model (TERGM).

Findings

The results indicate that during the 5GIN evolution, the network scale continues to expand and exhibits increasingly significant core-periphery structure, scale-free characteristic, small-world characteristic and community structure. Furthermore, the findings suggest that the multiple knowledge attributes based on the key attributes of emerging technologies, including knowledge novelty, coherence, growth and impact, have a significant positive influence on the ETIN evolution. Meanwhile, the temporal evolution of ETIN is also found to be correlated with the life cycle of emerging technologies.

Originality/value

This study extends the exploration of emerging technology research from a complex network perspective, providing a more realistic explanatory framework for the factors influencing ETIN evolution. It further highlights the important role that multiple knowledge attributes and the technology life cycle play within this framework.



中文翻译:


知识属性和生命周期对新兴技术创新网络演化的影响——TERGM 分析


 目的


本研究旨在结合新兴技术的关键属性和生命周期,探讨影响新兴技术创新网络 (ETIN) 演化的因素,特别是多知识属性和技术生命周期对 ETIN 演化的影响。


设计/方法/方法


本研究从 Derwent Innovations Index 中收集 5G 专利数据及其引文信息,构建 5G 技术创新网络 (5GIN) 作为样本网络,并使用时间指数随机图模型 (TERGM) 对 5GIN 进行实证分析。

 发现


结果表明,在 5GIN 演化过程中,网络规模不断扩大,并表现出越来越显著的核-外围结构、无标度特性、小世界特征和群落结构。此外,研究结果表明,基于新兴技术关键属性的多种知识属性,包括知识新颖性、连贯性、增长和影响,对 ETIN 的演变具有显着的积极影响。同时,还发现 ETIN 的时间演变与新兴技术的生命周期相关。

 原创性/价值


本研究从复杂网络的角度扩展了对新兴技术研究的探索,为影响 ETIN 演变的因素提供了更现实的解释框架。它进一步强调了多种知识属性和技术生命周期在此框架中发挥的重要作用。

更新日期:2024-12-02
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