DOI QR코드

DOI QR Code

An Exploratory research on patent trends and technological value of Organic Light-Emitting Diodes display technology

Organic Light-Emitting Diodes 디스플레이 기술의 특허 동향과 기술적 가치에 관한 탐색적 연구

  • Kim, Mingu (Graduate School of Technology and Innovation Management, Hanyang University) ;
  • Kim, Yongwoo (Graduate School of Technology and Innovation Management, Hanyang University) ;
  • Jung, Taehyun (Graduate School of Technology and Innovation Management, Hanyang University) ;
  • Kim, Youngmin (Graduate School of Technology and Innovation Management, Hanyang University)
  • 김민구 (한양대학교 기술경영전문대학원) ;
  • 김용우 (한양대학교 기술경영전문대학원) ;
  • 정태현 (한양대학교 기술경영전문대학원) ;
  • 김영민 (한양대학교 기술경영전문대학원)
  • Received : 2022.08.21
  • Accepted : 2022.11.06
  • Published : 2022.12.31

Abstract

This study analyzes patent trends by deriving sub-technical fields of Organic Light-Emitting Diodes (OLEDs) industry, and analyzing technology value, originality, and diversity for each sub-technical field. To collect patent data, a set of international patent classification(IPC) codes related to OLED technology was defined, and OLED-related patents applied from 2005 to 2017 were collected using a set of IPC codes. Then, a large number of collected patent documents were classified into 12 major technologies using the Latent Dirichlet Allocation(LDA) topic model and trends for each technology were investigated. Patents related to touch sensor, module, image processing, and circuit driving showed an increasing trend, but virtual reality and user interface recently decreased, and thin film transistor, fingerprint recognition, and optical film showed a continuous trend. To compare the technological value, the number of forward citations, originality, and diversity of patents included in each technology group were investigated. From the results, image processing, user interface(UI) and user experience(UX), module, and adhesive technology with high number of forward citations, originality and diversity showed relatively high technological value. The results provide useful information in the process of establishing a company's technology strategy.

본 연구는 Organic Light-Emitting Diodes(OLEDs) 산업의 하위기술 분야를 도출하여 특허 동향을 분석하고 각 하위기술 분야별 기술 가치, 독창성, 다양성을 분석한다. 특허 자료 수집을 위해 OLED 기술과 관련된 국제 특허 분류(International Patent Classification) 집합을 정의하고, 이를 활용해 2005년부터 2017년까지 출원된 OLED 연관 특허를 수집하였다. 이어서 토픽모델을 이용하여 대량의 특허 문서를 12가지 주요 기술로 구분하고 각 기술에 대한 동향을 조사하였다. 그중 터치 센서, 모듈, 이미지 처리, 회로 구동 관련 특허는 증가 추세를 보였으나 가상 현실, 사용자 인터페이스 관련 특허는 최근 감소하였고, 박막 트랜지스터, 지문 인식, 광학필름 관련 특허는 지속적인 추세를 보였다. 이후 각 기술 그룹에 포함된 특허의 전방 인용 수, 독창성, 다양성을 조사하여 기술적 가치를 비교하였다. 결과로부터 전방 인용 수, 독창성, 다양성이 높은 이미지 처리기술, UI/UX, 모듈 기술, 점착 기술 분야가 상대적으로 높은 기술적 가치를 보여주었다. 본 연구를 통해 기업의 기술 전략 수립과정에서 활용 가치가 높은 정보를 제공한다.

Keywords

References

  1. 강은경, 정연식, 양선욱. 권지윤, 양성병. (2022). MIS Quarterly 연구동향 탐색: 토픽모델링 및 키워드 네트워크 분석 활용. 지능정보연구, 28(2), 207-235. https://doi.org/10.13088/JIIS.2022.28.2.207
  2. 김명관, 송종국, 이정원. (2003). 기업 기술혁신 전략의 변화. Science & Technology Policy(과학기술정책), 13(1), 74-84.
  3. 김용우, 김민구, 김영민. (2022). 기계학습을 활용한 특허수명 예측 및 영향요인 분석. 지능정보연구, 28(2), 147-170. https://doi.org/10.13088/JIIS.2022.28.2.147
  4. 남대경, 최경현. (2018). 토픽모델 및 특허 분석을 통한 차량용 반도체 기술 추세 분석. 기술혁신 학회지, 23(3), 1155-1178.
  5. 신규식, 최회련, 이홍철. (2015). 신재생에너지 동향 파악을 위한 토픽 모형 분석. 한국 산학기술학회논문지, 23(3), 1155-1178.
  6. Albert, M. B., Avery, D., Narin, F., & McAllister, P. (1991). Direct validation of citation counts as indicators of industrially important patents. Research policy, 20(3), 251-259. https://doi.org/10.1016/0048-7333(91)90055-U
  7. Annis, C. A. (2019, June). Roadmapping Strategies for Rapidly Diversifying FPD Applications and Manufacturing Technologies. In SID Symposium Digest of Technical Papers (Vol. 50, No. 1, pp. 762-764). https://doi.org/10.1002/sdtp.1303
  8. Baillie, J. (2002). Introduction to patent searching. Resource document. Boston Public Library. http://www.bpl.org/research/govdocs/patent_handout.pdf. Accessed 25 May 2012.
  9. Benson, C. L., & Magee, C. L. (2013). A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field. Scientometrics, 96(1), 69-82. https://doi.org/10.1007/s11192-012-0930-3
  10. Blei, David M. "Probabilistic topic models." Communications of the ACM 55.4 (2012): 77-84. https://doi.org/10.1109/MSP.2010.938079
  11. Bresnahan, T. F., & Trajtenberg, M. (1995). General purpose technologies 'Engines of growth'?. Journal of econometrics, 65(1), 83-108. https://doi.org/10.1016/0304-4076(94)01598-T
  12. Coffey, V. C. (2017). The age of OLED displays. Optics and Photonics News, 28(11), 34-41. https://doi.org/10.1364/OPN.28.4.000024
  13. Young, R. (2020). The outlook for OLED remains bright. Information Display, 36(3), 41-45. https://doi.org/10.1002/msid.1117
  14. Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and impacts: the influence of public research on industrial R&D. Management science, 48(1), 1-23. https://doi.org/10.1287/mnsc.48.1.1.14273
  15. Criscuolo, Paola. "The 'home advantage' effect and patent families. A comparison of OECD triadic patents, the USPTO and the EPO." Scientometrics 66.1 (2006): 23-41. https://doi.org/10.1007/s11192-006-0003-
  16. Czarnitzki, D., Hussinger, K., & Schneider, C. (2011). "Wacky" patents meet economic indicators. Economics Letters, 113(2), 131-134 https://doi.org/10.1016/j.econlet.2011.06.011
  17. De Vaan, A. J. (2007). Competing display technologies for the best image performance. Journal of the Society for Information Display, 15(9), 657-666. https://doi.org/10.1889/1.2785199
  18. Frietsch, R., Schmoch, U., Van Looy, B., Walsh, J. P., Devroede, R., Du Plessis, M., ... & Schubert, T. (2010). The value and indicator function of patents (No. 15-2010). Studien zum deutschen Innovationssystem. https://www.econstor.eu/handle/10419/156544
  19. Gowda, B. S., & Lakshmikantha, V. (2020, March). User behavior prediction using a novel sentence N-gram model. In 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 391-397). IEEE. https://doi.org/10.1109/ICIMIA48430.2020.9074898
  20. Hall, B. H., Jaffe, A. B., & Trajtenberg, M. (2001). The NBER patent citation data file: Lessons, insights and methodological tools. https://doi.org/10.3386/w8498
  21. Hendy, I., & Gray, P. (2020). The Role of Innovation in the Display Industry's End Game. Information Display, 36(6), 28-32. https://doi.org/10.1002/msid.116
  22. Jaffe, A. B., Trajtenberg, M., & Henderson, R. (1993). Geographic localization of knowledge spillovers as evidenced by patent citations. the Quarterly journal of Economics, 108(3), 577-598. https://doi.org/10.2307/2118401
  23. Koo, J. H., Kim, D. C., Shim, H. J., Kim, T. H., & Kim, D. H. (2018). Flexible and stretchable smart display: materials, fabrication, device design, and system integration. Advanced Functional Materials, 28(35), 1801834. https://doi.org/10.1002/adfm.201801834
  24. Larkey, L. S. (1999, August). A patent search and classification system. In Proceedings of the fourth ACM conference on Digital libraries (pp. 179-187). https://doi.org/10.1145/313238.313304
  25. Lee, S. M., Kwon, J. H., Kwon, S., & Choi, K. C. (2017). A review of flexible OLEDs toward highly durable unusual displays. IEEE Transactions on Electron Devices, 64(5), 1922-1931. https://doi.org/10.1109/TED.2017.2647964
  26. Leten, B., Belderbos, R., & Van Looy, B. (2007). Technological diversification, coherence, and performance of firms. Journal of Product Innovation Management, 24(6), 567-579. https://doi.org/10.1111/j.1540-5885.2007.00272.x
  27. Liu, Jun S. "The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem." Journal of the American Statistical Association 89.427 (1994): 958-966. https://doi.org/10.1080/01621459.1994.10476829
  28. Narin, F. (1995). Patents as indicators for the evaluation of industrial research output. Scientometrics, 34(3), 489-496. https://doi.org/10.1007/bf02018015
  29. Porter, M. F. (1980). An algorithm for suffix stripping. Program.
  30. Quintana-Garcia, C., & Benavides-Velasco, C. A. (2008). Innovative competence, exploration and exploitation: The influence of technological diversification. Research policy, 37(3), 492-507. https://doi.org/10.1016/j.respol.2007.12.002
  31. Roder, M., Both, A., & Hinneburg, A. (2015, February). Exploring the space of topic coherence measures. In Proceedings of the eighth ACM international conference on Web search and data mining (pp. 399-408). https://doi.org/10.1145/2684822.2685324
  32. Shih, M. J., Liu, D. R., & Hsu, M. L. (2010). Discovering competitive intelligence by mining changes in patent trends. Expert Systems with Applications, 37(4), 2882-2890. https://doi.org/10.1016/j.eswa.2009.09.001
  33. Takaki, T., Fujii, A., & Ishikawa, T. (2004, November). Associative document retrieval by query subtopic analysis and its application to invalidity patent search. In Proceedings of the thirteenth ACM international conference on Information and knowledge management (pp. 399-405). https://doi.org/10.1007/s11192-012-0930-3
  34. Tang, C. W., & VanSlyke, S. A. (1987). Organic electroluminescent diodes. Applied physics letters, 51(12), 913-915. https://doi.org/10.1063/1.98799
  35. Wallach, H. M., Murray, I., Salakhutdinov, R., & Mimno, D. (2009, June). Evaluation methods for topic models. In Proceedings of the 26th annual international conference on machine learning (pp. 1105-1112). https://doi.org/10.1145/1553374.1553515
  36. Yang, C. W., & Chen, P. S. (2020). Applying data envelopment analysis to evaluate the operation performance of Taiwan's TFT-LCD industry after Post-Global financial crisis: a longitudinal study. IEEE Access, 8, 145171-145181 https://doi.org/10.1109/ACCESS.2020.3010945
  37. Young, R. (2019). OLEDs expected to gain ground as LCD investment slows. Information Display, 35(3), 24-29. https://doi.org/10.1002/msid.1035