• Journal of Korea Technology Innovation Society
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• v.8 no.2
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• pp.860-885
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• 2005

This study relates to develop a quantitative method through which promising technology-based business items can be discovered and selected. For this study, we utilized patent trend analysis, technology-industry concordance analysis, and keyword co-occurrence analysis of US patents. By analyzing patent trends and technology-industry concordance, we were able to find out the emerging industry trends : prevalence of bio industry, service industry, and B2C business. From the direct and co-occurrence analysis of newly discovered patent keywords in the year, 2000, 28 promising business item candidates were extracted. Finally, the promising item candidates were prioritized using 4 business attractiveness determinants; market size, product life cycle, degree of the technological innovation, and coincidence with the industry trends. This result implicates that reliable discovery and selection of promising technology-based business items can be performed by a quantitative, objective and low- cost process using knowledge discovery method from patent database instead of peer review.

• Journal of Technology Innovation
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• v.18 no.2
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• pp.121-145
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• 2010

This study relates to measure impact of green technology on industry sector by uses of industry greening indices. For this study, we performed patent trend analysis, technology-industry concordance analysis, and designed some industry greening indices. Through the results of this research, we found out the impact of Korean high priority green technologies on respective industries, and consequently identified which industries play an important role in the era of green innovation. IT related industries would catch somewhat weak attention in green technology policy, though they manufacture and use plenty of patents at present. Meanwhile, Energy related industry, such as battery industry would catch strong attention in green innovation, showed very high value of industry greening indices. In order to design proper R&D strategy for green technologies, understanding industry and market structure that can adapt and promote green technology innovation is important. In this context, this study could be an effective and systematic tool for assisting green innovation policy. Also, these indices developed are not limited to the case of green technology, other technologies can be used universally as a input for analysis.

• Journal of Industrial Convergence
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• v.12 no.2
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• pp.16-23
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• 2014

The aim of this study is to find the strategic industries that fulfills the on-site demands of the Gyeonggi province region related to the advancement and development of the local industries. As the results of the analysis, the 4 major strategic industries in the Gyeonggi province region were determined to be (1) electronic component, computer, visual, acoustic and telecommunication equipment manufacturing, (2) pulp, paper and paper product manufacturing, (3) medical substances and pharmaceutical product manufacturing, and (4) rubber and plastic product manufacturing. The industry of concordance between the 4 major strategic industry of the Gyeonggi province determined in this Study and the 13 future growth engine industry of Korea was the area of intelligent semiconductor. Accordingly, it was analyzed that there is a need to strategically cultivate the electrical and electronic telecommunication device industry, which is ranked the $1^{st}$among the strategic industries of Gyeonggi province by generating synergic effects with the policy of the government for nurturing of intelligent semiconductor industry.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.706-710
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• 2006

Recently, several studies have been carried on knowledge flow of science, technology, industry to establish STI policy. Still it is lack of studies on relationship of science-industry although there have been studied only in aspect of science-technology relationship or technology-industry relationship. This paper's purpose is to propose method to measure knowledge flow among science, technology, and industry by means of patent citation. After gathering knowledge flow data between science and technology through mapping citing patent and cited paper, it gets knowledge flows data between technology-industry by using OTC (OECD Technology Concordance), technology-industry mapping program. Basd on 2 types of knowledge flow data, it propose method to examine knowledge flow from science to industry by applying overlap function is a network link weight function.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11b
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• pp.323-337
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• 2006

Recently, several studies have been carried on knowledge flow of science, technology, industry to establish STI policy. Still it is in need of studies on relationship of science-industry although there have been studied only in aspect of science-technology relationship or technology-industry relationship. This paper's purpose is to propose method to measure knowledge flow among science, technology, and industry by means of patent citation by USPTO. After gathering knowledge flow data between science and technology through mapping citing patent and cited pater, it gets knowledge flows data between technology-industry by using OTC (OECD Technology Concordance), technology-industry mapping program. Based on these knowledge flow data, it examines knowledge flow science to industry by applying overlap function that is a network link weight function.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.6
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• pp.781-789
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• 2023

We investigated the sensory and quality characteristics of gambas al ajillo retort foods with nondigestible maltodextrin (trial gambas) compared with commercially available frozen gambas al ajillo (control). Trial gambas demonstrated approximate compositions of 75.8% moisture, 11.3% protein, 5.8% lipid, 1.7% ash, and 5.4% carbohydrates, indicating lower lipid and carbohydrate contents but higher moisture, protein, and ash levels than that of the control. Sensory assessments conclusively established the superior overall acceptability of trial gambas over the control. Trial gambas exhibited a total amino acid content of 9.62 g/ 100 g, surpassing the 5.39 g of the control. The major amino acids, such as lysine, leucine, arginine, aspartic acid, and glutamic acid, contributed significantly to its enhanced nutritional profile. Mineral analysis revealed higher calcium, phosphorus, magnesium, and iron levels in trial gambas and lower potassium levels than that in the control. Fatty acid profiling identified 18:1n-9 (67.8%) and 16:0 (11.9%) as the predominant fatty acids, in concordance with the control. This study substantiates trial gambas with the health-oriented preferences of the MZ generation while presenting superior sensory and quality attributes compared with the control.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.963-986
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• 2022

This article surveys the fashion forecasting industry in Korean domestic markets. With the rise of new media and devices with high technology, the paradigm of fashion trends forecasting systems has dramatically changed. New perspectives of trend forecasting are required to understand the trend flow and consumer behavior of the MZ generation. The research questions are as follows: 1) Major trend forecasting companies studied the development of their strategies and new forecasting methods. 2) The consumers' needs in the domestic market were analyzed. The influence of the trend companies' forecasting on the market was investigated. The results are as follows: 1) International trend forecasting significantly affected the domestic market. The concordance rate between consumers' online searches about fashion trends was approximately 70.14%. The match rate by category is as follows: The highest rate, 85.06% is from pattern and print, color is 83.92%, the item is 80.39%, and style is 54.32%. 2) Specialized information such as the Pantone color chart is being widely consumed, leading to a trend among the masses. 3) The Korean-specific socio-cultural background has an impact on domestic trends.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.221-241
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• 2018

As we enter the knowledge society, the importance of information as a new form of capital is being emphasized. The importance of information classification is also increasing for efficient management of digital information produced exponentially. In this study, we tried to automatically classify and provide tailored information that can help companies decide to make technology commercialization. Therefore, we propose a method to classify information based on Korea Standard Industry Classification (KSIC), which indicates the business characteristics of enterprises. The classification of information or documents has been largely based on machine learning, but there is not enough training data categorized on the basis of KSIC. Therefore, this study applied the method of calculating similarity between documents. Specifically, a method and a model for presenting the most appropriate KSIC code are proposed by collecting explanatory texts of each code of KSIC and calculating the similarity with the classification object document using the vector space model. The IPC data were collected and classified by KSIC. And then verified the methodology by comparing it with the KSIC-IPC concordance table provided by the Korean Intellectual Property Office. As a result of the verification, the highest agreement was obtained when the LT method, which is a kind of TF-IDF calculation formula, was applied. At this time, the degree of match of the first rank matching KSIC was 53% and the cumulative match of the fifth ranking was 76%. Through this, it can be confirmed that KSIC classification of technology, industry, and market information that SMEs need more quantitatively and objectively is possible. In addition, it is considered that the methods and results provided in this study can be used as a basic data to help the qualitative judgment of experts in creating a linkage table between heterogeneous classification systems.