• Korean Management Science Review
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• v.31 no.4
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• pp.29-42
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• 2014

As society proceeds rapidly toward a knowledge-oriented stage, knowledge as an intangible asset has gained increasing importance. Companies increase their competitiveness and generate extra value through continuous investments in the management of intellectual property (IP). Thus, the prime concerns of companies have been protection of their technological innovation output through filing for IP rights, and maximization of their interests through utilization of intangible assets. Despite the importance of technological innovation in the management of a company, few studies have analyzed the key factors in the management of IP and activities for technological innovation. This study aims to derive policy implications for managing IP and effective capacity building for technological innovation. For this purpose, the author has employed empirical tests to identify the major factors influencing the direction of technological innovations in a company.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.385-419
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• 2018

This study suggests an integrated model composed of factors of industrial environments and technology capacity for corporate diversification decision based on industrial organization theory and resource based perspectives. We examine the proposed model using patents and financial data of 272 applicants for 6 years (2010~2015) in the smart factory ICT convergence technology (application and platform field) sectors. The result of analyzing the fixed effect panel model shows that technological competitiveness has a positive effect on corporate diversification. Also, the additional result of analyzing the two-stage least square fixed effect model indicates that the convergence patent ratio increases technological competitiveness. Based on the results, we provide implications for corporate diversification strategies and government R & D policies for commercialization of corporate convergence technology resources and competencies.

• Fashion & Textile Research Journal
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• v.24 no.1
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• pp.15-28
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• 2022

In the Fourth Industrial Revolution era, with its accelerating radical changes and innovation, fashion is rapidly advancing to sustain social changes introduced by technological convergence. In light of this, the study investigates the social and cultural characteristics of technologizing fashion products: creative modifications emerge from technological convergence with fashion products and result in a realm separate from technology. By focusing on the nature of fashion, this study analyzes the technologization of fashion products for added value creation in the fashion system. Based on the findings, it interprets different attitudes toward technologizing that changes fashion products. Accordingly, this study reviews previous literature and qualitatively examines empirical cases based on inductive reasoning. In particular, it analyzes commercialized cases of fashion-technology convergence in fashion products found on online fashion media outlets between January 2007 and May 2021, a central period in intellectual and technological innovation. The characteristics of technologized fashion products are identified as follows: expansion of physical functions and categories, interaction with emotional sensibilities, artistry through combination with technologies, and computer-generated imagery(CGI) fashion as digital goods. Therefore, this study analyzes the characteristics of technologization, focusing on the social and cultural properties of fashion products. The findings provide opportunities to understand the paradigm shift of these products that was catalyzed by technologizing.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.05a
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• pp.411-430
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• 2001

This Paper analyses characteristics of the numerical controller industry in market formation and the flow of information between users and producers and the characteristic of knowledge base of the industry and discusses the difficulties derived, from the characteristics, in accumulation of technological capability In market formation between users and producers, the multi-layered market is not favorable to domestic producers in that lower end market is not large enough to provide cradle market to them which produce inferior quality and lower price than imported products. The credibility of the performance of a product is difficult to prove until a critical mass of products are sold. Therefore gaining market share is deterred by unproven credibility of the performance of the product. The flow of information between users and producers is limited. The flow of information on users environment through mass market to producers is essential for improving credibility of a product. The nature of knowledge base is tacit and the means of knowledge transmission is limited. Technological licensing and reverse engineering, which have been conventional means of knowledge transmission, are not useful in the numerical controller industry. These characteristics provide conditions of vicious circle in accumulation of technological capability of the numerical controller industry. It is conjectured that these characteristics are derived from the fact that the numerical controller is the result of IT based technological convergence in controlling machining process. This paper argues that these characteristics of the industry challenges existing approach to R&D management and framework of science and technology Policy.

• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.88-95
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• 2017

As the safety fields are expanding to a variety of industrial fields, safety technology has been developed by convergence between industrial safety fields such as mechanics, ergonomics, electronics, chemistry, construction, and information science. As the technology convergence is facilitating recently advanced safety technology, it is important to explore the trends of safety technology for understanding which industrial technologies have been integrated thus far. For studying the trends of technology, the patent is considered one of the useful sources that has provided the ample information of new technology. The patent has been also used to identify the patterns of technology convergence through various quantitative methods. In this respect, this study aims to identify the convergence patterns and fields of safety technology using association rule mining(ARM)-based patent co-classification(co-class) analysis. The patent co-class data is especially useful for constructing convergence network between technological fields. Through linkages between technological fields, the core and hub classes of convergence network are explored to provide insight into the fields of safety technology. As the representative method for analyzing patent co-class network, the ARM is used to find the likelihood of co-occurrence of patent classes and the ARM network is presented to visualize the convergence network of safety technology. As a result, we find three major convergence fields of safety technology: working safety, medical safety, and vehicle safety.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.3
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• pp.83-95
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• 2022

A technology can be newly formed through technological convergence achieved by the intersection of two or more technological fields. As the complexity of technology development increases, related interest is increasing. Researches have been carried out on the concept, related indicators and analysis of technology convergence including method of social networks. This paper intends to suggest an analysis method of technology convergence using social networks based on the company's possessing technologies. According to the similarity of technologies among companies, a social network was constructed and the technology convergence was analyzed using k-core, a social network subgroup method. Using the result of k-core, base and element technologies for convergence was identified with their relations. Using the suggested method, technology convergence was analyzed on real technology data of defense-industry companies. When the minimum technology similarity is 0, the overall technology convergence relations between technology elements can be identified. In the scope of data in this paper, technologies of defense S/W, aircraft structure and structural materials are identified as important base technology for convergence.

• Journal of Korea Technology Innovation Society
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• v.5 no.2
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• pp.189-211
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• 2002

The research shows how the technological change of 'Information and Communication Technology' (ICT) is accompanied with the usage change. It aims to provide a better conceptualization with empirical findings about the fact that the technological development of ICT is a convergence process of ICT factors with the usage of ICT moving from a limited coverage toward a general-purpose. The research adapts a descriptive methodology on a historical matter and demonstrates how it can be conducted through analytical description of Input-Output tables (I/O) the over periods. The case is about the UK with sequential I/O during 1970s- 90s.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.177-183
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• 2012

The technological innovation of IT industry is the competitive tool for them to survive in the environment of an intensive competition. This technological innovation is critical in the survival of firms, but various factors should be considered to embody technological innovation success. This paper aims to identify the determinant factors of the outcome which influence the technological innovation based on the IT industry, and set up a model for measuring technological innovation success with its relevant understanding through the preceding studies. In addition, research with other related research model is to parallel.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.61-71
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• 2018

The research analysis will be proceeded with a specific question: The kind of endeavors the ICT providers must focus on within the ICT industry's Schumpeterian pattern of using barriers of knowledge during the rapid technological transformation and pursuing appropriability of guaranteed opportunities. The study was carried out by targeting and conducting empirical observations on the proliferation of technological patent applications made by ICT companies among approximately 5,700 listed North American corporations. The risk of arising cases, in which late-coming non-ICT companies adopt and participate in the technical pertinence and concept derived from the technological advent, will be treated as an independent variable in a survival analysis. Through this analysis, innovative technological attempts and absorption capabilities indicate significance.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.3
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• pp.471-481
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• 2023

Digital twin is considered as a key technology of industry 4.0, thus being essential for the future of industrial production. Despite the significance, a systematic analysis of its technological landscape is lacking. This study aims to investigate the technological development trends and newly emerging technological convergence opportunities in the domain of digital twin by exploiting patent information derived from U SPTO. For this purpose, this study visualized and predicted the convergence dynamics among patent classification codes by adopting patent co-classification analysis and link prediction approach. The findings show that the number of digital twin-related patent applications has increased significantly since 2018. The CPC code G06F showed the highest eigenvector centrality, while G05B was characterized by highest betweenness centrality. According to the predictive model, 41 novel links were revealed, acting as potential technology convergence opportunities. These links were then categorized into 11 different domains. The most dominant category was "digital data processing and artificial intelligence", which could play a foundational role in the diffusion of digital twin technology. The presence of digital twin technology is dominant in manufacturing, but its applications are expected to expand, including "climate change", "healthcare" and "aerospace engineering". The derived insights can support R&D managers and policy makers in formulating R&D strategies and directing future R&D investment decisions.