• Journal of Digital Convergence
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• v.10 no.4
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• pp.1-9
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• 2012

Emerging three-dimensional television (3DTV) as a new IT product shows a possibility that television is not for just watching broadcasting, but an attractive tool for applying it to our real life. Three dimensional television is generally more effective and attractive than two-dimensional television (2DTV). But it still needs continuous technological improvement to solve its inherent limitations until many customers decide to purchase 3DTVs without hesitation. Innovative products like 3DTV encounter a quality problem leading purchase decision by customers. Quality is regarded as one of the most important factors affecting customers to adopt and use the product. Furthermore, measuring quality effectively is considerable for the 3DTV research. In this paper, we suggest the Analytic Hierarchy Process(AHP) method for evaluating 3DTVs in a view of quality. We describe quality criteria affecting the 3DTV selection through a literature survey and develope an analytical method for measuring quality. We classify the quality of 3DTV into four types and suggest a concept of the quality ratio as a measurement criteria instead of the quality gap. Though a numerical example, we show how priorities of 3DTV with versatile manufacturers is computed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.1
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• pp.157-167
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• 2020

The big data and artificial intelligence technology, which has provided the foundation for the recent 4th industrial revolution, has become a major driving force in business innovation across industries. In the field of information security, we are trying to develop and improve an intelligent security system by applying these techniques to large-scale log data, which has been difficult to find effective utilization methods before. The quality of security log big data, which is the basis of information security AI learning, is an important input factor that determines the performance of intelligent security system. However, the difference and complexity of log data by various product has a problem that requires excessive time and effort in preprocessing big data with poor data quality. In this study, we research and analyze the cases related to log data collection of various firewall. By proposing firewall log data collection format standard, we hope to contribute to the development of intelligent security systems based on security log big data.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.177-184
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• 2015

Modern society is rapidly going digital as blowing hot air about it Convergence castration. Iran fusion product management, technology, and services such as free from black-and-white logic of various activities such as management of alternative recognition by further series of management innovation in the way of trying to fill the other gaps win-win. In addition, the company is to survive through the creation and unceasing. Performance of firms in contemporary globalization, which is still more sensitive. In this study, based on the fusion needs of the enterprise and explores how this convergence competencies affect to business performance. Results showed that the fusion capacity is affecting the financial performance and non-financial performance. That fusion technology education learning capability and convergence capabilities appeared to affect the financial performance and non-financial performance.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.167-177
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• 2019

Innovation of genomics technology has recently been extended to Direct To Consumer Genetic Test (DTC-GT) which consumers purchase without requesting the service on medical institutes. In 2016, Korea has introduced the DTC-GT but the market size is small comparing to global market. This study analyzes consumers' purchase intentions and purposes and their influential factors based on 2018 consumer survey. According to the results of binominal and multinominal logistic regression, knowledge after purchase, attitude on medical care benefit, health status are statistically significant on purchase intentions. Purchase purposes are different on age group and related on medical care rather than health care. These results imply that DTC-GT is needed to improve consumer satisfaction, re-purchase and effective care service. This paper is expected to contribute on strategic directions for the new DTC-GT product development.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.1
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• pp.28-45
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• 2021

The importance of smart clothing as a product is increasingly emphasized as further growth in the potential of the smart market is expected. There is a high understanding and sympathy for the potential of smart clothing in the mass consumer market; therefore, commercialization is not actively carried out. This study enhances the understanding of the development direction of products with a focus on technical benefits, in order for smart clothing to gain access to customers as wearable devices. This study identifies major technologies used in smart clothing through an analysis of the patent technology status of smart clothing in Korea. Smart clothing is divided into three types: passive smart, active smart and advanced smart clothing based on a reaction mechanism and functional scope. We present the smart clothing and discuss the product features for three types. According to research, smart clothing products were equipped with passive, active, and advanced smart systems as well as provided new services by converging big data and AI technologies, rather than only using technologies such as sensors, controls, and actuators. Future directions for new smart clothing product development is also discussed in the conclusion.

• Archives of design research
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• v.13 no.4
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• pp.85-93
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• 2000

Design becomes a source of new competitive power in the boundless global market so-called globalization. The competitive power in business was lied in the technology in 70's and the design was understood as a styling or graphic means. However, the design has become more important means to get the competitive power in business since 1980. World businesses have found the fact that it has a super competitive power to make the product's performance as well as its dignity rather than it is to determine the product's external view or color. The change of design policy in Phillips, one of the world's leading producers of electronic products, is not much different. Design manager's power was limited until 70's. However, Phillips has focused its business strategy on the higher competitive power since 1980 and they welcomed Robert Blaich, vice president of design and development at Herman Miller Inc., to be a member of the company, expanding the importance of design along with restructure while working on the globalization. Meanwhile, Stefano Marzano, a Senior Director in 90's, established a high design concept, working on the strategic futures to get customer-oriented and for successful commercialization. The vision of the future developed over 3 years until 1996 was to forecast 10 years coming up and create a new value while achieving the business target through the design as an innovative design in bracing for the information network era.

• Journal of Technology Innovation
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• v.22 no.2
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• pp.221-245
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• 2014

In the era of fierce global competition and short product life cycle, firms have been interested in the technology valuation to improve their competitiveness. As the technology valuation may become a key issue for countries and industries, the development of technology valuation method has become increasingly important. Thus, this study aims to suggest a novel method to assess technology value by applying conjoint analysis to bibilographic information of patent. For this purpose, we firstly identified nine patent indexes categorized in three attributes - technological superiority, marketability and legal rights. Then, we collected actual data on patent transactions including their patent attributes and market prices. Based on the data, we could obtain the patent index values. Finally, we applied conjoint analysis to the prices and patent index values as a basis for technology valuation. The suggested method is expected to be an effective tool for technology valuation by using real transaction data rather than relying heavily on experts assessment.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.121-132
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• 2012

Recently, interest in emotional technology has escalated and its application has extended to many fields, from both an industrial (product) and service (culture, tourism, medical, education, advertising) perspective. Moreover, culture has become a fundamental aspect of modern industry, playing key roles in: gaming, exhibitions, performances, sports, tourism, design, edutainment, as well as various content distribution industries. The prospect of applying emotional technology for cultural content industries makes up for more than half of the 'plan-manufacture-distribution-marketing' process, and thereby also serves as driving force for the growth of a nation. The primary objective of the following research is analyze successful cases from the past through utilization of emotional technology, and to speculate on efficient directions for future research into developing emotional contents. To achieve this, some of the key terms have been defined and elaborated for the sake of clarity. The terms are as follows: emotion, emotion engineering, science of emotion, emotional technology, and emotional contents. Furthermore, studies were conducted based on the six different fields surrounding CT R&D to observe how projects involving emotional technology have succeeded both on a national and global scale. Based on this analysis, this research aims to develop personalized 'Concierge' service-providing contents, contents designed to maximize performance ability of humans, and contents that could be controlled simply via emotion to effectively spread the culture of Korea by focussing on 'fusion' content development. The following research data may hopefully serve as a basic reference to industries navigating towards emotional content development.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.1-18
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• 2019

Venture capitalists (VCs) play an important role in finding and growing innovative venture companies with high growth potential but high risk. Venture capital investment does not depend on the system, unlike the investment for listed companies. Korea's venture capital industry has entered a period of growth, but lack of data has led to a lack of research on venture capital. Based on this background, this study attempts to analyze various factors affecting investment decision criteria of Korea VCs. In this study, I examined the major factors that VCs consider in decision making of investment through literature review, and I have drawn the research question accordingly. I will focus on the characteristics of founders, products / services, markets, financials, and networks that scholars share common investment decision criteria in Korean VCs. For the purpose of this study, the data were collected through the questionnaire surveyed by investment vetters working in current venture capital and analyzed using AHP analysis. Through this study, I tried to understand the Korean venture capital which has been poorly studied and what criteria and priorities Korean VCs make investment decisions in the Korean venture investment environment. The results of this research will contribute to the vitalization of venture investment, which is important for the upbringing of companies, by providing guidelines for establishing investment attraction strategies of venture companies.

• Journal of Technology Innovation
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• v.26 no.4
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• pp.199-232
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• 2018

There are increasing needs for understanding and fathoming of business management environment through big data analysis at industrial and corporative level. The research using the company disclosure information, which is comprehensively covering the business performance and the future plan of the company, is getting attention. However, there is limited research on developing applicable analytical models leveraging such corporate disclosure data due to its unstructured nature. This study proposes a text-mining-based analytical model for industrial and firm level analyses using publicly available company disclousre data. Specifically, we apply LDA topic model and word2vec word embedding model on the U.S. SEC data from the publicly listed firms and analyze the trends of business topics at the industrial and corporate levels. Using LDA topic modeling based on SEC EDGAR 10-K document, whole industrial management topics are figured out. For comparison of different pattern of industries' topic trend, software and hardware industries are compared in recent 20 years. Also, the changes of management subject at firm level are observed with comparison of two companies in software industry. The changes of topic trends provides lens for identifying decreasing and growing management subjects at industrial and firm level. Mapping companies and products(or services) based on dimension reduction after using word2vec word embedding model and principal component analysis of 10-K document at firm level in software industry, companies and products(services) that have similar management subjects are identified and also their changes in decades. For suggesting methodology to develop analysis model based on public management data at industrial and corporate level, there may be contributions in terms of making ground of practical methodology to identifying changes of managements subjects. However, there are required further researches to provide microscopic analytical model with regard to relation of technology management strategy between management performance in case of related to various pattern of management topics as of frequent changes of management subject or their momentum. Also more studies are needed for developing competitive context analysis model with product(service)-portfolios between firms.