DOI QR코드

DOI QR Code

Technology Opportunity Discovery Based on Firms' Technologies and Products

기업의 보유 기술 및 제품에 기반한 기술기회발굴

  • Park, Hyunseok (Graduate School of Technology and Innovation Management, POSTECH) ;
  • Seo, Wonchul (Division of Systems Management and Engineering, Pukyong National University) ;
  • Coh, Byoung-Youl (Department of Technology Opportunity Analysis, Korea Institute of Science and Technology Information) ;
  • Lee, Jae-Min (Department of Technology Opportunity Analysis, Korea Institute of Science and Technology Information) ;
  • Yoon, Janghyeok (Department of Industrial Engineering, Konkuk University)
  • 박현석 (POSTECH 기술경영대학원) ;
  • 서원철 (부경대학교 시스템경영공학부) ;
  • 고병열 (한국과학기술정보연구원 기술정보분석센터) ;
  • 이재민 (한국과학기술정보연구원 기술정보분석센터) ;
  • 윤장혁 (건국대학교 산업공학과)
  • Received : 2013.12.18
  • Accepted : 2014.05.08
  • Published : 2014.10.15

Abstract

Technology opportunity discovery (TOD) based on technological capability is a process which identifies new product and technology items that can be developed by utilizing or improving a firm's existing products or technologies. By taking into consideration the investment risk of R&D and its practicality, developing technological capability-based TOD methodology is considered to be important for both business and research. To this end, we propose a technological capability-based TOD method and its system using TOD knowledge base. The method can support four types of TOD cases, which are based on a firm's existing technologies and products, and TOD knowledge base is developed by using function information extracted from patent documents. In this paper, we introduce the overall framework of the method and provide application examples on the four TOD cases using the prototype system.

Keywords

References

  1. Astebro, T. B. and Dahlin, K. B. (2005), Opportunity knocks, Research Policy, 34(9), 1404-1418. https://doi.org/10.1016/j.respol.2005.06.003
  2. Cascini, G., Fantechi, A., and Spinicci, E. (2004), Natural language processing of patents and technical documentation Document analysis systems VI : Springer, 508-520.
  3. Choi, S., Kim, H., Yoon, J., Kim, K., and Lee, J. Y. (2013), An SAO-based text-mining approach for technology roadmapping using patent information, R&D Management, 43(1), 52-74.
  4. Choi, S., Yoon, J., Kim, K., Lee, J. Y., and Kim, C.-H. (2011), SAO network analysis of patents for technology trends identification : a case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells, Scientometrics, 88(3), 863-883. https://doi.org/10.1007/s11192-011-0420-z
  5. Hirtz, J., Stone, R. B., McAdams, D. A., Szykman, S., and Wood, K. L. (2002), A functional basis for engineering design : reconciling and evolving previous efforts, Research in engineering Design, 13(2), 65-82. https://doi.org/10.1007/s00163-001-0008-3
  6. Lee, J.-M., Lee, B., Lee, Y., and Kwon, O.-J. (2011), Models for technology evolution path creation based on citation tree to investigate technology opportunity discovery, Journal of Korea Technology Innovation Society, 14(2), 1152-1170.
  7. Lee, Y., Kwon, O., and Coh, B. (2011), Study on the emerging technology- product portfolio generation based on firm's technology capability, Journal of Korea Technology Innovation Society, 14(2), 1187-1208.
  8. Katila, R. and Mang, P. Y. (2003), Exploiting technological opportunities : the timing of collaborations, Research Policy, 32(2), 317- 332. https://doi.org/10.1016/S0048-7333(02)00102-6
  9. Kim, J. and Lee S. (2013), A methodology to evaluate industry convergence using the patent information : technology relationship analysis, Journal of Korean Institute of Industrial Engineering, 39(3), 212-221. https://doi.org/10.7232/JKIIE.2013.39.3.212
  10. KISTEP (2005), Future society prospect and Korean science and technology, Seoul.
  11. KISTI (2012a), Design and construction of a knowledgebase for technology opportunity discovery, Daejun.
  12. KISTI (2012b), Models for firms' R&D portfolios, Daejun.
  13. Mann, D. (2002), Hands-on systematic innovation, Creax press Belgium.
  14. Miller, G. A. (1995), WordNet : a lexical database for English, Communications of the ACM, 38(11), 39-41.
  15. Moehrle, M. G. and Geritz, A. (2004), Developing acquisition strategies based on patent maps Proceedings of the 13th international conference on management of technology, 1-9.
  16. Moehrle, M. G., Walter, L., Geritz, A., and Muller, S. (2005), Patent-based inventor profiles as a basis for human resource decisions in research and development, R&D Management, 35(5), 513-524. https://doi.org/10.1111/j.1467-9310.2005.00408.x
  17. Moehrle, M. G. (2010), Measures for textual patent similarities : a guided way to select appropriate approaches, Scientometrics, 85(1), 95-109. https://doi.org/10.1007/s11192-010-0243-3
  18. Park, H., Kim, K., Choi, S. and Yoon, J. (2013), A Patent intelligence system for strategic technology planning, Expert Systems with Applications, 40(7), 2373-2390. https://doi.org/10.1016/j.eswa.2012.10.073
  19. Savransky, S. D. (2002), Engineering of creativity : Introduction to TRIZ methodology of inventive problem solving.
  20. Shane, S. (2001), Technology regimes and new firm formation, Management science, 47(9), 1173-1190. https://doi.org/10.1287/mnsc.47.9.1173.9785
  21. STEPI (2008), Exploration and application of future study methodologies, Seoul, Korea.
  22. Stone, R. B. and Wood, K. L. (2000), Development of a functional basis for design, Journal of Mechanical Design, 122(4), 359-730. https://doi.org/10.1115/1.1289637
  23. Yoon, B. and Park, Y. (2005), A systematic approach for identifying technology opportunities : Keyword-based morphology analysis, Technological Forecasting and Social Change, 72(2), 145-160. https://doi.org/10.1016/j.techfore.2004.08.011
  24. Yoon, B., Phaal, R., and Probert, D. (2008), Morphology analysis for technology roadmapping : application of text mining, R&D Management, 38(1), 51-68.
  25. Yoon, B., Park, I., and Coh, B. (2014), Exploring technological opportunities by linking technology and products : Application of morphology analysis and text mining, Technological Forecasting and Social Change, 87, 287-303.
  26. Yoon, J. and Kim, K. (2011), Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks, Scientometrics, 88(1), 213-228. https://doi.org/10.1007/s11192-011-0383-0
  27. Yoon, J. and Kim, K. (2012), Detecting signals of new technological opportunities using semantic patent analysis and outlier detection, Scientometrics, 90(2), 445-461. https://doi.org/10.1007/s11192-011-0543-2
  28. Yoon, J., Park, H., and Kim, K. (2013), Identifying technological competition trends for R&D planning using dynamic patent maps : SAObased content analysis, Scientometrics, 94(1), 313-331. https://doi.org/10.1007/s11192-012-0830-6
  29. Zhu, D. and Porter, A. L. (2002), Automated extraction and visualization of information for technological intelligence and forecasting, Technological Forecasting and Social Change, 69(5), 495-506. https://doi.org/10.1016/S0040-1625(01)00157-3