• 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.13 no.1
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• pp.25-54
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• 2005

In this study, priority setting model of new promising IT industries which will be the growth engines for the Korean IT industry, was established. Based on the AHP model, priority setting of IT new promising IT industries was conducted. Firstly, the selection cases of the new promising IT industries and major priority setting methodologies including the AHP methodology, were analyzed. The AHP model was selected as the most feasible methodology for priority setting of the new IT industries, among the various priority setting methodologies. Secondly, in setting up the AHP model for prioritization of the new promising If industries, a 'goal' was established to be priority setting of the new promising IT industries, and an 'alternatives' to be 18 new promising IT industries. Then a logical and a systematic assessment criteria including 5 main criteria('Technological Innovation', 'Market Ability', 'SPin-off Effect', 'Public Benefit', 'Strategic Importance') and 14 sub-criteria, were developed for priority setting of the 18 new promising industries. Finally, with the AHP model, the substantial analysis was made to set up priority of the 18 new promising IT industries. The substantial analysis showed the following priority setting results and implications for the 18 new promising IT industries.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.5
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• pp.55-72
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• 2016

This study aims at providing a methodology for retaining international technology competitiveness, marketable industry, and sustainable promising technology in a field of new growth engine industry such as national unmanned aerial vehicle industry. We draw a result by analysing with tools such as KrKwic, Excel, NetMiner, presenting methods of a Social Network Analysis, sub-group analysis, and cognitive map analysis based on patent data in a field of unmanned aerial vehicle industry. As a result, some future promising technologies are prospected as what worths concentrated investment, such as 'pilot control tech', 'identification of friend or foe tech'.

• Journal of Korea Technology Innovation Society
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• v.2 no.2
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• pp.266-274
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• 1999

The world market is being restructured into one global market. The globalization makes the competition m IT industry more vigorous. It is, therefore, the vital procedures that the selection of the promising items among IT equipment and the intensive investment on the selected items to gain the competitiveness in the area of IT global market. With these in mind, in this paper, we introduce a very systematic and objective method which appraises the promise of IT equipment. The method is based on the factor Analysis which is very popular and powerful statistical technique.

• Hwankyungkyoyuk
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• v.17 no.2
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• pp.106-121
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• 2004

This thesis examined and analyzed the occupational status of the promising occupations in the environmental industry. A study on the status of the occupations in the environmental industry is very necessary for planning policies and improving occupations in the environmental industry. Studies and discussions regarding the status of the occupations in the environmental industry, however, were extremely insufficient. A survey of the employees in the environmental industry was conducted in order to certainly comprehend the status of the occupations, educational and training programs, and occupational changes and to utilize the result of the survey as foundational data necessary for occupational studies in the environmental industry. The subject of the survey was limited to the employees who had work for one or more years in twenty promising occupations in the environmental industry. The content of the survey was occupational performance competencies, occupational careers, the degree of occupational satisfaction, vocational education and training, working conditions, occupational changes, and the security of the human resources. Dissimilarities as well as similarities among twenty promising occupations were discovered according to the analysis result of the occupations in the environmental industry. A major discovery was that there are lots of difficulties in securing environment-related human resources. Primary reasons for the difficulties were inconsistent working conditions and the shortage of the qualified human resources. To solve the difficulties in securing the human resources, the curriculum of the educational and the training institutes should be innovated and the human resources from the institutes could be applied to the workplace directly after the graduation.

• Journal of Aerospace System Engineering
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• v.13 no.6
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• pp.80-89
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• 2019

Prospecting future social environmental changes and improvement research on future technologies is required for prospecting promising technology, as it would be useful for institution·company to set up technical planning. This study aims at providing a methodology for retaining international technology competitiveness, marketable industry, and sustainable promising technology in a field of new growth engine industry such as national unmanned aerial vehicle industry. We draw a result by analysing with tools such as KrKwic, Excel, NetMiner, presenting methods of a Social Network Analysis, sub-group analysis, and cognitive map analysis based on patent data in a field of unmanned aerial vehicle industry. Therefore, this study explored the technology evolution of UAV and to prospect promising technology. As a result, some future promising technologies are prospected as what worths concentrated investment, such as 'system integration tech', 'assessment/airworthiness certification tech', 'avionics', 'pilot control tech', 'identification of friend or foe', 'flight control tech', 'supportive equipment'.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.11B
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• pp.1403-1412
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• 2011

This study performed a detecting research of promising R&D field utilizing intuitive methodology regarding OLED illumination industry. For this, 69 professionals of the illumination industry in Korea were composed as a panel to hold an in-depth interview and survey for 1 month. The study classified the OLED illumination industry as 4 fields of panel, material/component for panel, manufacturing equipment, and lighting system, and selected core technology for each field, and divided it into a total of 14 possible fields for R&D. As a result of evaluating the technological competitive power for each field, the field in Korea which received the highest technological competitive power was OLED panel, and contrarily, technological competitive power of material/component for OLED panel showed the lowest, which requires improvement Meanwhile, evaluating economical aspect, conformity to policy, and effectiveness of R&D in general, 7 promising R&D fields were selected. The 4 core technologies of OLED panel, which are, white, transparent, color change and flexible OLED manufacturing technology were evaluated as the most promising fields, and next, organic material for surface light source, material/component for substrate and equipment for forming large sized substrate were evaluated as promising fields.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.321-330
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• 2020

The defense industry has recently been focused on boosting exports of weapon systems. Investigation and selection of promising export items for SMEs in the defense industry is essential to establish a defense promotion policy. This study presents a model for selecting promising export items applicable to the defense industry through case studies, such as criteria for selecting promising items from other organizations. The evaluation index is largely composed of three categories, competitiveness of the item itself, capabilities of the exporter, and ripple effect of the export, and consists of eight detailed evaluation indicators. The relative weight between categories was calculated through the AHP method. In the selection model, if a certain score is exceeded, it is then possible to adopt a promising item or verify validity. In particular, promising items were selected by applying this methodology to those involved in the defense industry. Using the model presented in this study, it is expected that domestic small and medium-sized enterprises with relatively high export competitiveness and excellent quality items will be given priority, and more effective and intensive export support will be possible.

• Journal of the Korean Society of Costume
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• v.38
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• pp.245-260
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• 1998

Our country's fur clothing industry has rapidly grown for a short time since it started with simple needlework of fur pieces, and now it is still developing as export industry that some enterprises besides general business firm export more than ten million dollars a year. However, it is true that fur clothing industry is still in unsatisfactory level in its size and system, compared with manufacturing or leather industry. Of course, we import crude material and processed fur on an entire base, and we have few wild fur on an entire base, and we have few wild fur animals because of our natural condition and it is hard to breed them. On the other hand, the world's fur industry shows that the demand of fur clothes is increasing as fur animal breeding is improved and developed and supply has become rather abundant with the help of fur clothing fashion since late 19th century : Also, there is a trend that some developed countries depend on importing rather than self-prodoction because of the character-istic of labor-concetntraled fur industry. Accordingly, considering this situation, we can expect fur clothing industry as promising export industry by analyzing the present situation of our country's fur clothing industry and suggesting its problems and solutions, and here are developing plans for growing fur clothing industry as promising export industry. First, smoothing delivery of crude material. Second, making high quality products and diversifying goods. Third, establishing effective competition system in fur clothing industry. Fourth, raising skilled man power. Lastly, there should be coopetation among the related fields in the aspect of policy including the support from the government.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.433-439
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• 2002

In this paper, we implemented technology assessment on the public R＆D activities in IT field in order to select the promising technologies, so called "star technology," making for national industry development. Technology assessment frame in this study included qualitative factors. IT technologies are classified five sector - network, wireless/broadcasting, SW/application/computer/terminal equipment, semiconductor/component. Expert opinion interviews on each field are carried out. Assessment factors consist of technology usefulness and technology competitiveness. In the final analysis, 23 technology items selected as a promising technologies and the results can be used public R＆D planning and If industry policy.