Patent keyword network analysis for improving technology development efficiency

Choi, Jinho D.; Hwang, Yong-Sik

doi:10.1016/j.techfore.2013.07.004

Cited by 123 publications

(67 citation statements)

References 29 publications

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“…Park (2014) analyzed the efficiency of small-and medium-sized enterprises of a national technology innovation R&D program. Choi and Hwang (2014) considered that patent can be viewed as a key indicator of technology development efficiency. Park (2015) pointed out that intellectual property-related output includes publications and patents.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring the Efficiency of Education and Technology via DEA approach: Implications on National Development

Liu

2017

Social Sciences

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Abstract:The aim of this paper is to provide a new approach for assessing the input-output efficiency of education and technology for national science and education department. We used the Data Envelopment Analysis (DEA) method to analyze the efficiency sharing activities in education and technology sector, and classify input variables and output variables accordingly. Using the panel data in the education and technology sector of 53 countries, we found that the countries with significant progress in educational efficiency and technological efficiency mainly concentrated in East Asia, especially in Japan, Korea, Taiwan and some other developing countries. We further evaluate the effect of educational and technological efficiencies on national competitiveness, balanced development of the country, national energy efficiency, export, and employment. We found that the efficiency of science and technology has an effect on the balanced development of the country, but that of education has played a counter-productive role; Educational efficiency has a large role and related the country's educational development. In addition, using the panel data analysis, we showed that educational and technological efficiency has different degrees of contributions to the development from 2000 to 2014. It mainly depends on the economic development progress and the push for the education and technological policy. The proposed approach in this paper provides the decision-making support for the education and technological policy formulation, specially the selection of the appropriate education and technological strategies for resource allocation and process evaluation.

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Section: Literature Reviewmentioning

confidence: 99%

Measuring the Efficiency of Education and Technology via DEA approach: Implications on National Development

Liu

2017

Social Sciences

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“…Patents have been widely used as a variable for measuring "output, technological innovation activity, or the strategy of technology management" [21][22][23][24][25][26][27][28][29][30][31]. They are also seen as one of the data sources that are capable of assessing technological capabilities of competitors [32].…”

Section: Related Work On the Sustainability Assessment And Patent Infmentioning

confidence: 99%

Effects of Clean Air Act on Patenting Activities in Chemical Industry: Learning from Past Experiences

Durmuşoğlu

2017

Sustainability

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Abstract:The chemical industry provides essential goods we use in our daily lives and key ingredients for many diverse industries. On the other hand, their production and use require serious attention while they may be seriously harmful to local air quality. The Clean Air Act (CAA) and its subsequent amendments regulate the emissions of hazardous air pollutants to protect public health and welfare in the U.S.A. since 1970. This study aimed to assess the impact of CAA on the rate of patenting in the chemical industry. With this in mind, basic chemical utility patents were analyzed to detect the effects of CAA on the patenting activities. Subsequent to the fitting of the ARIMA (Autoregressive Integrated Moving Average) model (producing the least square of errors), a significant outlier was detected with the Dixon's r22 Ratio Test. This outlier was the number of patents granted in 1972. Contextual queries in the text of those patent documents have shown that there was a considerable increase in the patents of chemistry which takes the sustainability relevant terms (air, emission, pollution, etc.) into consideration. It was concluded that companies in the chemistry industry adapted themselves very rapidly to the changes and CAA was an important incentive to create novel technologies.

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“…In the age of limitless competition of technology, it is important to know the future of technologies. Many studies related to TF have been conducted in diverse areas [3,[5][6][7][8][9][10][11][12]. Choi and Jun (2014) used statistical clustering based on Bayesian inference to find the vacant technology area of the future [3].…”

Section: Introductionmentioning

confidence: 99%

An Interval Estimation Method of Patent Keyword Data for Sustainable Technology Forecasting

2017

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Technology forecasting (TF) is forecasting the future state of a technology. It is exciting to know the future of technologies, because technology changes the way we live and enhances the quality of our lives. In particular, TF is an important area in the management of technology (MOT) for R&D strategy and new product development. Consequently, there are many studies on TF. Patent analysis is one method of TF because patents contain substantial information regarding developed technology. The conventional methods of patent analysis are based on quantitative approaches such as statistics and machine learning. The most traditional TF methods based on patent analysis have a common problem. It is the sparsity of patent keyword data structured from collected patent documents. After preprocessing with text mining techniques, most frequencies of technological keywords in patent data have values of zero. This problem creates a disadvantage for the performance of TF, and we have trouble analyzing patent keyword data. To solve this problem, we propose an interval estimation method (IEM). Using an adjusted Wald confidence interval called the Agresti-Coull confidence interval, we construct our IEM for efficient TF. In addition, we apply the proposed method to forecast the technology of an innovative company. To show how our work can be applied in the real domain, we conduct a case study using Apple technology.

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Patent keyword network analysis for improving technology development efficiency

Cited by 123 publications

References 29 publications

Measuring the Efficiency of Education and Technology via DEA approach: Implications on National Development

Measuring the Efficiency of Education and Technology via DEA approach: Implications on National Development

Effects of Clean Air Act on Patenting Activities in Chemical Industry: Learning from Past Experiences

An Interval Estimation Method of Patent Keyword Data for Sustainable Technology Forecasting

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