• 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.

• 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 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 Korea Society of Computer and Information
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• v.27 no.10
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• pp.235-243
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• 2022

This paper aims to find promising export items for market expansion of defense export items. Germany, the UK, and France were selected as export target countries to obtain unstructured forecast data on weapons system acquisition plans for the next ten years by each country. Using the TF-IDF in text mining analysis, keywords that appeared frequently in data from three countries were derived. As a result of this paper, keywords for each country's major acquisition projects drawing. However, most of the derived keywords were related to mainstay weapon systems produced by domestic defense companies in each country. To discover promising export items from text mining, we proposed that the drawn keywords are distinguished as similar weapon systems. In addition, we assort the weapon systems that the three countries will get a plan to acquire commonly. As a result of this paper, it can be seen that the current promising export item is a weapon system related to the information system. Prioritizing overseas demands using key words can set clear market entry goals. In the case of domestic companies based on needs, it is possible to establish a specific entry strategy. Relevant organizations also can provide customized marketing support.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.1
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• pp.61-72
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• 2013

This research aims to identify promising IT items from the perspectives of Korean SMEs and further to development a policy for SMEs in the IT industry. For this purpose, we adopted a bottom-up approach by discovering IT items on high demand by SMEs as their now growth engines and thus used a survey method. We also analyzed the ecosystem characteristics for the items to help policy-makers establish customized strategy to support their growth. We believe that this research is timely when the concept of ecosystem has emerged and the role of SMEs is emphasized in the IT industry. And the research results are expected to produce valuable information to make a policy for promoting IT items for SMEs and ultimately leading to balanced growth of large firms and SMEs.

• The Journal of Information Systems
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• v.18 no.1
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• pp.97-115
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• 2009

This study proposes a framework for an evaluation and selection of a venture firm with promising new technology in optical electronics industry to nurture that firm. The framework is intended to help practitioners to evaluate accurately and objectively new technologies. In addition, this study tests the usability and effectiveness of this framework with an actual certain case. More specifically, this study, first proposes that the framework for new technology evaluation is composed of financial perspective, market perspective, internal business perspective, and R&D and growing perspective. They are on the four perspectives of BSC(Balanced Score Card). Each perspective contains specific items. In addition, this study uses AHP(Analytic Hierarchy Process) to assess the comparative importance among the four perspectives and their specific items. Secondly, based on the results of AHP, the usability and effectiveness of the framework suggested in this study have been tested with a real case evaluating and selecting a promising venture firm. The results of the study have the following implications: this study has developed the framework for new technology evaluation which assists practitioners. Our framework offers the four perspectives and their specific items with their respective comparative importance. Furthermore, this study has verified that the proposed framework can be applicable in real situation with more accurate results.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.267-268
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• 2014

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11b
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• pp.255-272
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• 2006

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.10a
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• pp.487-502
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• 2005

• 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.