Abstract:An electric motor is a device that changes electrical energy into mechanical energy for railway vehicles. When developing the electric motor, it used to be developed simply for structures or control methods of the motor itself without considering convergence with other devices or technologies. However, as the railway vehicles become more advanced, technology development through convergence with other devices or technologies is spreading. Therefore, based on patent data related to the electric motors applied to… Show more
“…Choi et al extracted the international patents using the text mining technique, including the subgroups of this field, including pathology, radiology, and telesurgery. Moreover, they drew the life cycle curve, the starting point, the peak, and the saturation for each of these subgroups [8].…”
Section: Research Backgroundmentioning
confidence: 99%
“…On the other hand, the general goal of knowledge discovery is "to extract potential information" [7]. e patent analysis method is one of the scienti c and quantitative technology forecasting methods [8]. Due to the limited budget of research and development departments, it is necessary that these departments focus on the development of technologies that are more likely to be successful, and the time for their commercialization is short.…”
Technology forecasting is an important and critical issue that determines the starting point of planning and is considered as a management tool directly related to the future. In the previous research items, the development of renewable energy technologies was of concern. Moreover, due to the increasing need of countries to produce electricity and facing the lack of resources, this research focuses on forecasting photovoltaic technology. Accordingly, in this paper, for technological research in the field of solar energy, the patents extracted from one of the most famous renewable energy databases in the United States (US patent database) between 200 and 2020 were examined. Next, research gaps were analyzed by using the artificial neural network clustering method and also by analyzing covered and uncovered compounds. The results show that in the future, photovoltaic technology research will move towards the third generation of technology (organic materials) as well as focus on environmental parameters and their effects on the performance of photovoltaic systems.
“…Choi et al extracted the international patents using the text mining technique, including the subgroups of this field, including pathology, radiology, and telesurgery. Moreover, they drew the life cycle curve, the starting point, the peak, and the saturation for each of these subgroups [8].…”
Section: Research Backgroundmentioning
confidence: 99%
“…On the other hand, the general goal of knowledge discovery is "to extract potential information" [7]. e patent analysis method is one of the scienti c and quantitative technology forecasting methods [8]. Due to the limited budget of research and development departments, it is necessary that these departments focus on the development of technologies that are more likely to be successful, and the time for their commercialization is short.…”
Technology forecasting is an important and critical issue that determines the starting point of planning and is considered as a management tool directly related to the future. In the previous research items, the development of renewable energy technologies was of concern. Moreover, due to the increasing need of countries to produce electricity and facing the lack of resources, this research focuses on forecasting photovoltaic technology. Accordingly, in this paper, for technological research in the field of solar energy, the patents extracted from one of the most famous renewable energy databases in the United States (US patent database) between 200 and 2020 were examined. Next, research gaps were analyzed by using the artificial neural network clustering method and also by analyzing covered and uncovered compounds. The results show that in the future, photovoltaic technology research will move towards the third generation of technology (organic materials) as well as focus on environmental parameters and their effects on the performance of photovoltaic systems.
“…The current patent classification system is complex and hierarchical, comprising the descending levels of section, class, subclass, group, and subgroup (Figure 1). Patents contain substantial information about innovation phenomena, and patent co-classification analysis has been extensively used in numerous previous studies [49][50][51][52][53]. Curran and Leker [4] analyzed patent co-classification by investigating overlaps of patent classes to monitor technological convergence in different fields of the ICT sector.…”
Section: Technological Convergence Based On International Patent Classificationmentioning
Identifying emerging technology trends from patents helps to understand the status of the technology commercialization or utilization. It could provide research insights leading to advanced technological innovations that stimulate socially responsible research to address human dietary and medical needs. However, few studies have investigated emerging chitosan applications using patents. In this study, we report the application of a patent bibliometric predictive intelligence (PBPI) model to identify emergent topics and technology convergence related to chitosan applications from patents in the International Patent Classification system. Text mining was used to extract patterns from 5001 patents and each term was assigned an emergent score, following which we traced growth patterns, examined relationships between IPCs, emergent topics, and patents using correlation analysis and principal component analysis, and conducted matrix and cluster mapping analysis to understand industrial applications and explore patterns of technological convergence. Five major terms emerged in association with ascending and newly emergent topics over the last 13 years: “shelf life,” “antibacterial,” “good safety,” “absorbing water,” and “auxiliary materials.” These topics were closely linked with research in the biomedical and food production and preservation industries. A network analysis indicated that “antibacterial” terms exhibited the highest degree of convergence, followed by “shelf life.” These findings can inform strategies to determine new directions for chitosan research.
“…The PCT is an international treaty administered by the World Intellectual Property Organization (WIPO) that makes it possible to seek patent protection for an invention simultaneously in a large number of countries by filing a single international application with a single patent office [58]. Patents reflect technological knowledge and are valid and robust indicators of knowledge creation [59,60]. Moreover, the patent application and examination process can also reflect the external validity of novel inventions [61] in that the process, which is costly, represents a positive expectation by inventors of the economic significance of their inventions [61].…”
How do the organizational attributes of public R&D organizations affect their performance? Recent researchers have focused on the relationship between R&D investments and performance or efficiency, and others suggest that performance may be affected by organizational factors. However, we focus on the attributes of R&D workforce excellence and diversity of R&D workforce, which can affect the performance of public R&D organizations. Therefore, we conduct a panel negative binomial regression and a focus group interview after empirical analysis to derive interpretations and implications. The results show that the effects of the diversity and excellence of an R&D workforce can vary depending on the type of performance: scientific, technological, or social. Overall, we call for a human resources and resource-based approach to consider the importance of R&D workforce composition, specifically diversity and excellence, in evaluating the performance of public R&D organizations.
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