The diffusion of patented oil and gas technology with environmental uses: A forward patent citation analysis

Duch‐Brown, Néstor; Costa‐Campi, María Teresa

doi:10.1016/j.enpol.2015.03.001

Cited by 30 publications

(9 citation statements)

References 33 publications

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“…In addition to studies on the knowledge structure in the technological system, other studies seek to apply the patent classification co-occurrence network. In this network, nodes represent classification codes, among them the United States Patent Classification (USPC) and the International Patent Classification (IPC) are most commonly used [24], [25]. These nodes are linked by a tie when they occur together in one patent, and the strength of a tie represents the level of coupling [26], [27].…”

Section: B Patent Analysismentioning

confidence: 99%

Revealing Technology Innovation, Competition and Cooperation of Self-Driving Vehicles From Patent Perspective

Zhu

Zhao

et al. 2020

IEEE Access

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Self-driving vehicle (SDV) has become a new driving force in the automotive industry, but no scholars have yet to dig deep into the competitive technology intelligence in the SDV field. Therefore, this study analyzes technology, competition and cooperation from the perspective of global patents, aiming to provide a reference to governments, enterprises and research institutions to grasp the competition situation and timely find the new investment opportunities. In this study, the Derwent Innovation Index (DII) is selected as the data source, the Jaccard index instead of the International Patent Classification (IPC) co-occurrence frequency is used to reflect the technical correlation, Relative Technology Advantage (RTA) index and the International Business Potential (IBP) are used to represent the competition among enterprises, and multiple network indicators, including macro and micro, are used to measure cooperation. The results show that: 1. Vehicle control system is the most critical technology in SDV field; 2. Different types of companies show different competitive advantages. Auto manufacturing companies rely on their strong comprehensive strength to maintain their position, but component suppliers are most likely to become a powerful group to shake the existing industry order. 3. As far as global cooperation is concerned, the partnership led by core leaders is taking shape, but it is still in the early stage.

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Section: B Patent Analysismentioning

confidence: 99%

Revealing Technology Innovation, Competition and Cooperation of Self-Driving Vehicles From Patent Perspective

Zhu

Zhao

et al. 2020

IEEE Access

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“…Patents provide useful information on technology classification, the inventor, and the application date, among which two variables are particularly useful for the analysis of TC: citations and IPCs. First, citations are used to analyse technology trajectories (Karvonen and Kässi, ; Kim et al, ), technology diffusion (Duch‐Brown and Costa‐Campi, ; Kim et al, ), and technological innovation (Tseng et al, ). Based on the linkage between cited technologies, convergence among technologies can be observed.…”

Section: Literature Reviewmentioning

confidence: 99%

Technology convergence capability and firm innovation in the manufacturing sector: an approach based on patent network analysis

2018

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As a consequence of the convergence between manufacturing technology and the foundation technologies of Industry 4.0, it is becoming more important for firms to formulate an innovation strategy for their technological capabilities. In this context, the present study measures firm-level technology convergence (TC) capability using patent network analysis. A firm's TC capabilities are measured using three centrality indices pertaining to a patent network, which is constructed based on the relationship between patents and their international patent classification. For the empirical analysis, panel regression is conducted to observe the effect of TC capabilities on innovation for the top 30 firms in four manufacturing industries. We find that the TC degree positively influences the firms' overall innovation, namely their total number of patents, and negatively influences their convergent innovation, calculated as the ratio between the number of TC patents and the total number of patents, while the effect of TC betweenness is the opposite. These findings imply that while concentrating on similar technologies may promote quick technology application, it could hamper the enhancement of a TC's potential. To promote TC, a firm should thus develop technologies more likely to be involved in TC.

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“…Furthermore, the leading technologies could unite related technologies, which may lead to a combination of the replacement leading technology or a new technological system. This can evoke technological modification, cause changes within the technology-economic model, and may induce a replacement semi-permanent economic cycle (Jaffe et al, 1993;Jaffe and Trajtenberg, 1999;Néstor and María Teresa, 2015). A number of researchers perceive this technology as the dominant design, i.e., during a certain period, several single technological innovations are integrated.…”

Section: Introductionmentioning

confidence: 99%

Diffusion Mechanism of Leading Technology in the New Energy Industry Based on the Bass Model

Wang

Sun

2021

Front. Energy Res.

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With the increasing difficulties associated with heating, the new energy industry has become the mainstay for property development. The effective diffusion of leading technologies supplies a social edge for enterprise core technologies, and this is also a necessary topic for industrial transformation and optimization. Within the international context of energy conservation and emission reduction, the scientific and in-depth study of the diffusion mechanisms underlying leading technologies in the new energy industry have vital theoretical significance for the promotion of the diffusion of leading technologies. Based on the introduction of the Bass model and one extension model, this paper constructs the diffusion model of the new energy industry’s leading technology and analyzes its diffusion mechanism. The identified mechanism indicates that in the case of imperfect market and policy environments, the diffusion of the leading technology of the new energy industry is mainly influenced by the “expected utility” of innovators and the “actual utility” of imitators. The diffusion of the leading technology in innovator enterprises of the new energy industry is mainly affected by the “expected utility,” while the diffusion in imitator enterprises is affected by the “actual utility.” These influences are verified by simulation analysis. Based on the diffusion mechanism, several suggestions are presented for the promotion of the diffusion mechanism of leading technology, with the aim to provide references for the government, industry associations, and enterprises for relevant decision-making.

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The diffusion of patented oil and gas technology with environmental uses: A forward patent citation analysis

Cited by 30 publications

References 33 publications

Revealing Technology Innovation, Competition and Cooperation of Self-Driving Vehicles From Patent Perspective

Revealing Technology Innovation, Competition and Cooperation of Self-Driving Vehicles From Patent Perspective

Technology convergence capability and firm innovation in the manufacturing sector: an approach based on patent network analysis

Diffusion Mechanism of Leading Technology in the New Energy Industry Based on the Bass Model

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