• Title/Summary/Keyword: Technology Opportunity Development(TOD)

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Research on the Function and Economic Effect of Technology Opportunity Development System (기술기회발굴시스템의 기능 및 경제적 효과에 관한 연구)

  • Lee, Woo-Sung;Kim, Kang-Hoe;Coh, Byoung-Youl
    • Journal of Korea Technology Innovation Society
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    • v.14 no.spc
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    • pp.1096-1127
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    • 2011
  • This research focus on estimating the economic effects of TOD system development from the perspective of new market creation, R&D planning cost reduction and increase of R&D projects' commercialization success rates. The research is conducted through simulation and scenario analysis with assumptions about economic effect parameters. Scenario analysis shows that scenario 1 (the application ratio of the new TOD system to total Korean R&D programs' planning is 1.4%) results in total economic effects, 921.3 billion won in 2011 price with B/C ratio 6.15, that scenario 2 (the application ratio is 1.9%) results in total economic effects, 1,250.3 billion won in 2011 price with B/C ratio 8.34, and that scenario 3 (the application ratio is 0.9%) results in total economic effects, 592.2 billion won in 2011 price with B/C ratio 3.95. The research contributed to the prior evaluation of economic validity of "R&D on Technology Opportunity Development (TOD) system" and to cultivating the new methodology of economic benefit estimation in the area of R&D on system development.

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Enhancing Existing Products and Services Through the Discovery of Applicable Technology: Use of Patents and Trademarks (제품 및 서비스 개선을 위한 기술기회 발굴: 특허와 상표 데이터 활용)

  • Seoin Park;Jiho Lee;Seunghyun Lee;Janghyeok Yoon;Changho Son
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.4
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    • pp.1-14
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    • 2023
  • As markets and industries continue to evolve rapidly, technology opportunity discovery (TOD) has become critical to a firm's survival. From a common consensus that TOD based on a firm's capabilities is a valuable method for small and medium-sized enterprises (SMEs) and reduces the risk of failure in technology development, studies for TOD based on a firm's capabilities have been actively conducted. However, previous studies mainly focused on a firm's technological capabilities and rarely on business capabilities. Since discovered technologies can create market value when utilized in a firm's business, a firm's current business capabilities should be considered in discovering technology opportunities. In this context, this study proposes a TOD method that considers both a firm's business and technological capabilities. To this end, this study uses patent data, which represents the firm's technological capabilities, and trademark data, which represents the firm's business capabilities. The proposed method comprises four steps: 1) Constructing firm technology and business capability matrices using patent classification codes and trademark similarity group codes; 2) Transforming the capability matrices to preference matrices using the fuzzy function; 3) Identifying a target firm's candidate technology opportunities using the collaborative filtering algorithm; 4) Recommending technology opportunities using a portfolio map constructed based on technology similarity and applicability indices. A case study is conducted on a security firm to determine the validity of the proposed method. The proposed method can assist SMEs that face resource constraints in identifying technology opportunities. Further, it can be used by firms that do not possess patents since the proposed method uncovers technology opportunities based on business capabilities.

Exploring Technology Opportunities through Technology Intelligence: Types, the Present and an Integrated Framework (기술 인텔리전스를 활용한 기술기회탐색: 유형화, 현황, 통합체계개발을 중심으로)

  • Yoon, Byungun;Park, Inchae;Lee, Ho-Shin;Coh, Byoung-Youl
    • Journal of Korea Technology Innovation Society
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    • v.14 no.spc
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    • pp.1073-1095
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    • 2011
  • Recently, technology intelligence (TI) activities that support technological and/or market innovation have been important for many organizations to develop their competitiveness in trend of strengthening innovation-led economy. It is required to thorough understanding of TI-related activities and investigating methodology that can support these activities to facilitate technology opportunity exploration activities and increase the possibility of innovation. Thus, this research aims at first, investigating the taxonomy of objectives, information and methodology for technology opportunity development (TOD) through literature survey, second, deriving the TOD needs and current status analysis by conducting interview with various domestic firms, and finally, proposing an integrated framework of TI by synthesizing the results of the aforementioned investigation. Therefore, this research can suggest the strategic and political implications on TOD activities and moreover, propose a theoretical foundation to develop a supporting system for TI.

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A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.67-88
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    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.