R&amp;D trend analysis based on patent mining: An integrated use of patent applications and invalidation data

Han, Xiaotong; Zhu, Ding; Lei, Ming; Daim, Tuğrul U.

doi:10.1016/j.techfore.2021.120691

Cited by 29 publications

(6 citation statements)

References 32 publications

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“…In this study, we utilize patent data to trace the evolution of quantum technologies based on a logistic model. Patent data provides invaluable insights of inventions to design evolutionary stages of various technologies to forecast the temporal development ( [31], [75], [82]- [83]). Moreover, since the period of data collection varies, depending on the subject area, the developmental timelines of each technology change.…”

Section: Data Analysis Proceduresmentioning

confidence: 99%

Evolutionary Phases in Emerging Quantum Technologies: General Theoretical and Managerial Implications for Driving Technological Evolution

Coccia,

Roshani

2024

IEEE Trans. Eng. Manage.

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The goal of this study is to analyze evolutionary phases of emerging technologies to improve technological forecasting and management of promising innovations. Methodology applies S-shaped models with patent data to analyze the evolutionary phases in quantum technologies. Findings reveal that the evolutionary cycle of recent quantum technologies, based on patent data, is reducing compared to older technologies originated before 1980: from about 66 to 45 years. In addition, recent quantum technologies have a growth phase of about 22 years and maturity phase of 11 years, a shorter period than technologies originated before the 1980s (having a growth phase of 40 years and a maturity phase of about 13 years). The measure of entropy in the growth phase is lower (0.64) than maturity phase (0.74): a lower diversification of technological topics and technological trajectories. Results here suggest that the evolution of emerging technologies, such as quantum technology, has a high complexity and uncertainty for rapid changes in scientific and innovation ecosystem. Results support a technological management based on an ambidexterity strategy: a) Exploitation strategy in early phase of a technology's life cycle, which is characterized by concentrated topics (lower entropy index), directed to targeted investments in specific technologies; b) structure and dynamics in the maturity phase of technology's life cycle, having diversified themes (higher entropy index), suggests a strategy of exploration for detecting the most promising technological directions for future quantum innovations among new and expanding domains for achieving and sustaining competitive advantage of firms in a world of innovation-based competition.

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Section: Data Analysis Proceduresmentioning

confidence: 99%

Evolutionary Phases in Emerging Quantum Technologies: General Theoretical and Managerial Implications for Driving Technological Evolution

Coccia,

Roshani

2024

IEEE Trans. Eng. Manage.

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“…Analyzing patent text content bypasses subjective judgment, enabling a comprehensive grasp of topic distribution and evolution in the technical realm. It facilitates timely detection and tracking of the latest technological advancements and trends [27]. However, semantic ambiguity in the patent text information analysis may affect the accuracy of the analysis results.…”

Section: Literature Reviewmentioning

confidence: 99%

Core Technology Topic Identification and Evolution Analysis Based on Patent Text Mining—A Case Study of Unmanned Ship

Lin,

Wang,

Yang

et al. 2024

Applied Sciences

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Accurate identification and evolutionary analysis of core technology topics within patent texts play a crucial role in enabling enterprises to discern the development trajectory of core technologies, optimize research and development (R&D) strategies, and foster technological innovation. Based on the perspective of time series dynamic analysis, this study uses the Latent Dirichlet Allocation (LDA) topic modeling and TF-IDF text vectorization methods to comprehensively mine and identify patent technology topics in the field of unmanned ships. This study deeply analyzes the dynamic evolution of unmanned ship technology topics from two aspects: the evolution of technology theme intensity and the evolution of technology theme content. We refine the development characteristics and future development directions of unmanned ship technology. The findings reveal two hot technologies, six growth technologies, and six declining technologies in unmanned ship technology. Furthermore, the analysis of technical topic evolution illustrates a pattern of fragmentation, inheritance, and integration. This study advances the methodologies used for identifying and analyzing patent technology topics and helps to grasp the development rules and evolutionary trends of core technologies. In addition, this paper has reference value for the research and practice of core technology topic identification and evolution analysis methods based on patent text mining.

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“…A common criterion for evaluating the quality of a model is the perplexity used as a criterion for determining the number of topics, and the quality of the model is better when the perplexity is relatively low [42], [43]. The perplexity calculation method is shown in Equation 2 below.…”

Section: Figure 2 Visual Composition Of the Lda Modelmentioning

confidence: 99%

Identifying the Technology Opportunities and the Technology Taxonomy for Railway Static Inverters With Patent Data Analytics

Lee,

Han,

Kim

et al. 2024

IEEE Access

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In this study, we identify and forecast promising railway static inverter technologies and the technology taxonomy using patent data analytics. To this end, we identify technology topics through LDA topic modeling and interpret them through N-gram analysis. We then derive detailed promising technology topics through time series analysis and technology mapping. Finally, we identify leading companies and research institutes in the field of promising technology topics through bibliography and social network analysis of patent applicants. Our study identified six technology topics, and fields related to converter technology were identified as detailed promising technologies. Japanese companies represented by Mitsubishi, Hitachi, and Toshiba are leading R&D in this field, while Chinese companies represented by CRRC have also secured technological competitiveness. Additionally, France's Alstom is technically competitive when considering only the centrality index. Our study will contribute to its use as a meaningful reference for the establishment of railway R&D and the development of promising railway static inverter technologies.

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R&D trend analysis based on patent mining: An integrated use of patent applications and invalidation data

Cited by 29 publications

References 32 publications

Evolutionary Phases in Emerging Quantum Technologies: General Theoretical and Managerial Implications for Driving Technological Evolution

Evolutionary Phases in Emerging Quantum Technologies: General Theoretical and Managerial Implications for Driving Technological Evolution

Core Technology Topic Identification and Evolution Analysis Based on Patent Text Mining—A Case Study of Unmanned Ship

Identifying the Technology Opportunities and the Technology Taxonomy for Railway Static Inverters With Patent Data Analytics

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