Innovation Position: A Quantitative Analysis to Evaluate the Efficiency of Research  and Development on the Basis of Patent Data

Suzuki, Katsuhiro; Sakata, Junichi; Hosoya, Jun

doi:10.1109/hicss.2008.207

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…In the microscopic aspect of patent analysis, studies are being conducted to determine the technical strengths and weaknesses of competitors, plan corporate technology development activities, derive the priorities of research and development, find technical gaps, and present opportunities for new technologies [18,19]. Suzuki et al (2008) [20] used International Patent Classification (IPC) codes to classify the Research and development status of companies in terms of the integration of technologies in the same field and the integration of heterogeneous technologies and judged them from a technology convergence perspective through simultaneous classification analysis. Jeong (2011) [21] developed a technology roadmap through patent analysis and applied text mining to perform technology planning based on a technology roadmap.…”

Section: Methods Of Patent Analysismentioning

confidence: 99%

A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development

Lee

2020

Sustainability

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Based on the rapid development of Information and Communication Technology (ICT), all industries are preparing for a paradigm shift as a result of the Fourth Industrial Revolution. Therefore, it is necessary to study the importance and diffusion of technology and, through this, the development and direction of core technologies. Leading countries such as the United States and China are focusing on artificial intelligence (AI)’s great potential and are working to establish a strategy to preempt the continued superiority of national competitiveness through AI technology. This is because artificial intelligence technology can be applied to all industries, and it is expected to change the industrial structure and create various business models. This study analyzed the leading artificial intelligence technology to strengthen the market’s environment and industry competitiveness. We then analyzed the lifecycle of the technology and evaluated the direction of sustainable development in industry. This study collected and studied patents in the field of artificial intelligence from the US Patent Office, where technology-related patents are concentrated. All patents registered as artificial intelligence technology were analyzed by text mining, using the abstracts of each patent. The topic was extracted through topic modeling and defined as a detailed technique. Promising/mature skills were analyzed through a regression analysis of the extracted topics. In addition, the Bass model was applied to the promising technologies, and each technology was studied in terms of the technology lifecycle. Eleven topics were extracted via topic modeling. A regression analysis was conducted to identify the most promising/mature technology, and the results were analyzed with three promising technologies and five mature technologies. Promising technologies include Augmented Reality (AR)/Virtual Reality (VR), Image Recognition and Identification Technology. Mature technologies include pattern recognition, machine learning platforms, natural language processing, knowledge representation, optimization, and solving. This study conducts a quantitative analysis using patent data to derive promising technologies and then presents the objective results. In addition, this work then applies the Bass model to the promising artificial intelligence technology to evaluate the development potential and technology diffusion of each technology in terms of its growth cycle. Through this, the growth cycle of AI technology is analyzed in a complex manner, and this study then predicts the replacement timing between competing technologies.

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Section: Methods Of Patent Analysismentioning

confidence: 99%

A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development

Lee

2020

Sustainability

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“…Essa reserva de conhecimento, frequentemente mantida por escritórios de patentes em níveis nacionais e internacionais, serve como um repositório valioso para identificar tendências tecnológicas. Além disso, a análise cuidadosa da base de patentes oferece oportunidades para tomadores de decisão, pesquisadores e inovadores, permitindo a identificação de oportunidades de mercado, estratégias de desenvolvimento tecnológico e a compreensão do panorama em constante evolução (Suzuki;Sakata;Hosoya, 2008). Economia, responsável pelo aperfeiçoamento, disseminação e gestão do sistema brasileiro de concessão e garantia de direitos de propriedade intelectual para a indústria, incluindo as concessões de patentes (BRASIL, 1996).…”

Section: Bases De Patentesunclassified

Amazon potential: technological prospect on the use of acai oil (Euterpe oleracea) in the development of bioproducts in the last decade (2014-2023)

Mendes,

Silva,

Moraes

et al. 2024

OLEL

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The acai oil, extracted from Euterpe oleracea, has a wide range of promising biological activities, being produced on a large scale in Brazil, mainly in the Amazon region. Studies highlight its health benefits, including antimicrobial activity, anticancer action, antiatherogenic, anti-hypercholesterolemic, anti-hypertriglyceridemic, anti-inflammatory, and antinociceptive. Acai berry oil also shows potential in technological production. This technological prospecting was carried out between 2014 and 2023 to identify patents related to its use. 15 patent registrations were found, with applications in various sectors such as food, pharmaceutical and cosmetics. Brazil's supremacy in this field, especially by higher education institutions, reflects the country's scientific and innovative potential, highlighting the fundamental role of universities and research centers in generating applied knowledge and in the search for sustainable solutions. It is essential to continue supporting and encouraging research and innovation, promoting strategic partnerships between academia, industry and government, so that the knowledge generated contributes effectively to social, economic and environmental progress, both in Brazil and globally.

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“…Regarding these ratios as coordinates in a three dimensional space, the position of each patent dataset can be defined. In this "innovation coordinate system", inventions in each industrial sector and also that of individual firms are effectively visualized to form an analytic basis for the investigation of R&D status and strategy [8].…”

Section: Categorization Of Patents Based On Ipcmentioning

confidence: 99%

An empirical analysis on progress of technology fusion

Suzuki

Sakata

Hosoya

2008

2008 Third International Conference on Digital Information Management

Self Cite

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In order to analyze the progress of research based on the integration of leading edge technologies, this paper introduces three types of patent data categorization, namely the Mix, Only and Mono-IPC type, respectively, expanding the concept of IPC Co-Occurrence. Additionally, the concept of innovation coordinate is introduced as a mean to investigate status and trends of R&D in the field of fuel cells for the years from 2000 to 2004. It is shown that yearly positions determined by the sets of patent applications in Japan concerning fuel cell kept changing during the period; occupation ratio of MIX type inventions decreased while those of Only and Mono-IPC type increased. The declining trend of MIX type, which is considered to be common in the convergence process of technology fusion toward the launch of new products based on cutting-edge technologies, is also observed in the field of Micro Electro Mechanical Systems (MEMS).Our future work includes both the trilateral comparison by adding European and US patent datasets, and also, hybrid analyses by introducing external data such as R&D expenditures to investigate the validity and/or the application limit of the present analysis in the quantitative study of the dynamics of innovation.

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Innovation Position: A Quantitative Analysis to Evaluate the Efficiency of Research and Development on the Basis of Patent Data

Cited by 3 publications

References 14 publications

A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development

A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development

Amazon potential: technological prospect on the use of acai oil (Euterpe oleracea) in the development of bioproducts in the last decade (2014-2023)

An empirical analysis on progress of technology fusion

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