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Research on the evaluation of the maturity of industrial technology ecosystems under the synergy of multi-layer networks
Wang Xueyuan, Feng Gui
Science Research Management ›› 2026, Vol. 47 ›› Issue (6) : 66-76.
PDF(1499 KB)
PDF(1499 KB)
Research on the evaluation of the maturity of industrial technology ecosystems under the synergy of multi-layer networks
Clarifying the maturity of industrial technology ecosystems is essential for understanding the current state of industries and providing a scientific basis for formulating industrial strategies. However, existing research predominantly focuses on evaluating single-technology synergies or element similarities, often neglecting a systematic examination of multi-layer network synergies. This paper constructed judgment rules for assessing the stage and level of technology ecosystem maturity from two perspectives: mutual promotion-driven synergy and mapping overlap synergy. It proposed a comprehensive evaluation method that integrates hypernetwork models, transfer entropy, and two-mode network mapping relationships. Using patents from the nanomaterials industry between 2013 and 2022 as a foundation, an empirical analysis was conducted to assess the maturity of this industrial technology ecosystem. The results indicated that through normative and quantitative analyses of multi-layer network synergies, it is possible to effectively overcome the subjectivity and one-dimensional limitations inherent in traditional evaluations, thereby providing an objective basis for determining maturity. From the perspective of driving synergy, R&D cooperation along with patent development within the nanomaterials industry significantly propels market applications; however, there exists insufficient reverse driving effects—suggesting that this sector is currently in its formative stage regarding technological systems. In terms of mapping synergy, there is a notable overlap degree (90%) between core technology patents and market application fields; nevertheless, the level of synergy between R&D entities and their market environment remains relatively low overall—resulting in a medium to high maturity level. Based on these findings, strategies such as enhancing the establishment of market-oriented technology consortia are recommended. These strategies will provide valuable decision support for governments and enterprises aiming to optimize their technological ecosystem layouts while bolstering industrial competitiveness.
technological ecology / maturity / assessment / hyper network model / transfer entropy
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The steel industry is one the three biggest producers of carbon dioxide and it is experiencing technical challenges due to the gradual decrease in the quality of iron ore. Steel is extensively used in the construction industry for structural applications like steel components, while steel fibres are intensively used as additives to concrete in order to improve its performance. It is thus important to consider the use of recycled steel as a replacement for virgin steel in order to address the aforementioned environmental consequences. This paper applies the eco-efficiency framework to determine the economic and environmental implications of the use of recycled fibre in concrete as a replacement for virgin steel. A number of concrete mixes were considered that used virgin, recycled, and treated recycled rebar in concrete. The eco-efficiency framework, which uses a life-cycle assessment approach to calculate the environmental and economic values of concrete mixes in order to determine the portfolio positions of these concrete mixes, was used for comparison purposes and to establish the eco-efficient option(s). Whilst the recovery and recycling process is energy-intensive, the use of recycled steel fibre in reinforced concrete has been found to be eco-efficient and deliver the same level of mechanical performance compared to that obtained using virgin steel fibre. Treating steel fibre could improve its technical performance, but it was found to increase both costs and environmental impacts and was therefore identified as not being eco-efficient.
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Most industrial companies (e.g., SMEs or start-ups) have very limited assets (time, human, and financial efforts, etc.) for the development of their R&D projects. To be competitive, these organizations must carefully evaluate the feasibility of their R&D projects and select the one that best suits their business priorities and their needs. Introducing new technologies can provide a significant competitive advantage, but it also involves risk. Moreover, in accessing public funding, the maturity level of a technology is one of the factors to be considered in terms of access to specific calls for proposals. In recent times, one of the most common measures to assess the maturity of a technology is based on the concept of “technology readiness level” (TRL), which allows the classification of the technology according to its maturity (research, development, or market readiness of the solution). But it has some drawbacks related to the SMEs’ lack of specialized resources and the subjectivity of the current assessing methods. Determining the TRL of a given technology in an objective way, based on indicators, would be of great help for the formulation of R&D projects. This paper considers whether it is possible to use existing methodologies for the determination of the TRL from indicators in organizations with limited access to bibliographic resources. Based on the state-of-the-art, modifications of the methodologies will be proposed to make them applicable to organizations with fewer resources. The outcome of this study will form the basis of a novel approach to achieve a more appropriate methodology for these organizations.
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本文对数字经济时代下中国计算产业生态中技术、平台和应用层级存在的问题进行深入探索分析，提出面对强大的以美国为主导的第一计算产业生态时，需要坚定不移地构建一个以中国为主导的、关键技术自主可控的、开放国际化并与第一生态兼容的计算产业第二创新生态。研究认为，在技术生态层面应坚持核心技术的自主可控，坚持技术生态的开放共赢；在平台生态层面应推进生产领域的万物互联，强化消费领域的移动互联，突破“产用峡谷”；在应用生态层面应加强平台反垄断，促进中小企业创新，推进国际出海。
本文对数字经济时代下中国计算产业生态中技术、平台和应用层级存在的问题进行深入探索分析，提出面对强大的以美国为主导的第一计算产业生态时，需要坚定不移地构建一个以中国为主导的、关键技术自主可控的、开放国际化并与第一生态兼容的计算产业第二创新生态。研究认为，在技术生态层面应坚持核心技术的自主可控，坚持技术生态的开放共赢；在平台生态层面应推进生产领域的万物互联，强化消费领域的移动互联，突破“产用峡谷”；在应用生态层面应加强平台反垄断，促进中小企业创新，推进国际出海。
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Developing rapidly over the long term makes it easy for a developing country to fall into the middle-income trap, which can only be solved by a new technological revolution. The deep integration of digital technology and industry has gradually become a new impetus to promote the sustainable development of China’s economy. Based on the panel data of 30 provinces and cities from 2010 to 2019, this paper analyzes the coupling coordination relationship between digital transformation level and economic development in China by the entropy method, coupling coordination degree model and spatial autocorrelation model. The results show that the following: (1) from 2010 to 2019, the comprehensive index of China’s digital transformation and economic growth level showed an upward trend, and the development level showed a gradual decline in eastern–middle–western regions; (2) the level of coupling and coordination between China’s digital transformation and economic growth has been increasing each year. Except Guangdong Province, all provinces have shown digital lag coordinated development, and it is necessary to strengthen their economic sustainability; (3) the coupling and coordination degree of digital transformation and economic growth in China shows a remarkable spatial correlation and agglomeration. High–high agglomeration areas are mainly concentrated in the Beijing–Tianjin–Hebei and Yangtze River Delta regions, low–low agglomeration areas are concentrated in northeast and western regions, and low–high agglomeration areas and high–low agglomeration areas are concentrated in southeast provinces. It is suggested that China should strengthen its regional balance in the future, let digital technology continue to lead the development of eastern developed regions, and transform and promote the traditional economy in other regions, overtaking in corners and enhancing the sustainable development of the overall layout of China’s economy.
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生态群落中不同物种间发生多样化的相互作用, 形成了复杂的种间互作网络。复杂生态网络的结构如何影响群落的生态系统功能及稳定性是群落生态学的核心问题之一。种间互作直接影响到物质和能量在生态系统不同组分之间的流动和循环以及群落构建过程, 使得网络结构与生态系统功能和群落稳定性密切相关。在群落及生态系统水平上开展种间互作网络研究将为群落的构建机制、生物多样性维持、生态系统稳定性、物种协同进化和性状分化等领域提供新的视野。当前生物多样性及生态系统功能受到全球变化的极大影响, 研究种间互作网络的拓扑结构、构建机制、稳定性和生态功能也可为生物多样性的保护和管理提供依据。该文从网络结构、构建机制、网络结构和稳定性关系、种间互作对生态系统功能的影响等4个方面综述当前种间网络研究进展, 并提出在今后的研究中利用机器学习和多层网络等来探究环境变化对种间互作网络结构和功能的影响, 并实现理论和实证研究的有效整合。
Varied species interactions form complex species interaction networks in diverse ecological communities. Understanding how the network structure affects ecosystem functions and community stability is one major issue for community ecology. Species interactions can directly affect the flow and circulation of matter and energy among different components of ecosystems. As a result, the network structure is closely related to the structure, stability, and functioning of ecological communities. Prior studies on interaction networks have shed light on community assembly, biodiversity maintenance, ecosystem stability, coevolution and trait diversification. Currently, biodiversity and ecosystem functions have been largely affected by global environmental changes. The interaction networks and their relationship with biodiversity loss in a changing world have become important research topics. Exploring the structure and assembly of species interaction networks, stability, and ecosystem functions is significant for understanding the maintenance mechanism and biodiversity conservation. Here, we reviewed the research advances in the structure of ecological networks and their determinants, network stability, the relationship between network and ecosystem functions, and the mechanisms underlying these relationships. We also suggest future research directions on how to apply machine learning and multilayer network to disentangle the effects of environmental change on network structure and ecosystem functions by integrated theoretical and empirical studies. |
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Universities can contribute to knowledge-based regional development not only in their home region but also in other regions. In a number of countries, universities have established university satellite institutes in additional (host) regions to promote research and technology transfer there. We investigate the role of university satellite institutes in the industrial development of regions, which, albeit not economically marginal, suffer from a weak knowledge infrastructure, limited absorptive capacities for external knowledge in the business sector and hence a low degree of attractiveness for non-local knowledge actors. Despite policy recommendations in favor of establishing satellite institutes, there has only been limited empirical research on this phenomenon, particularly concerning technology transfer ecosystem development. To fill this gap, we provide an exploratory case study of university satellite institutes in the Pearl River Delta of China’s Guangdong province. We show how such institutes can be successful in facilitating the development of their host region’s technology transfer ecosystems and demonstrate why they should be conceptually included in our existing understanding of third mission activities. Our research centers on the interplay of geographical proximity and non-spatial, organized proximity in the development of interregional knowledge bridges and entrepreneurial opportunities. We argue that the university’s geographical proximity is only successful if the satellite institute, by facilitating organized proximity, promotes the geographical proximity of further knowledge actors, hereby propelling ecosystem development.
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