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http://dx.doi.org/10.13088/jiis.2022.28.4.135

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

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)
Publication Information
Journal of Intelligence and Information Systems / v.28, no.4, 2022 , pp. 135-155 More about this Journal
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.
Keywords
Patent; Latent Dirichlet Allocation; Organic Light Emitting Diode; PATSTAT;
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1 강은경, 정연식, 양선욱. 권지윤, 양성병. (2022). MIS Quarterly 연구동향 탐색: 토픽모델링 및 키워드 네트워크 분석 활용. 지능정보연구, 28(2), 207-235.   DOI
2 남대경, 최경현. (2018). 토픽모델 및 특허 분석을 통한 차량용 반도체 기술 추세 분석. 기술혁신 학회지, 23(3), 1155-1178.
3 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   DOI
4 Blei, David M. "Probabilistic topic models." Communications of the ACM 55.4 (2012): 77-84. https://doi.org/10.1109/MSP.2010.938079   DOI
5 Young, R. (2020). The outlook for OLED remains bright. Information Display, 36(3), 41-45. https://doi.org/10.1002/msid.1117   DOI
6 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   DOI
7 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   DOI
8 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   DOI
9 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   DOI
10 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   DOI
11 Narin, F. (1995). Patents as indicators for the evaluation of industrial research output. Scientometrics, 34(3), 489-496. https://doi.org/10.1007/bf02018015   DOI
12 Porter, M. F. (1980). An algorithm for suffix stripping. Program.
13 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   DOI
14 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   DOI
15 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   DOI
16 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   DOI
17 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   DOI
18 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   DOI
19 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   DOI
20 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   DOI
21 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   DOI
22 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   DOI
23 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   DOI
24 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-   DOI
25 김명관, 송종국, 이정원. (2003). 기업 기술혁신 전략의 변화. Science & Technology Policy(과학기술정책), 13(1), 74-84.
26 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   DOI
27 Tang, C. W., & VanSlyke, S. A. (1987). Organic electroluminescent diodes. Applied physics letters, 51(12), 913-915. https://doi.org/10.1063/1.98799   DOI
28 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   DOI
29 김용우, 김민구, 김영민. (2022). 기계학습을 활용한 특허수명 예측 및 영향요인 분석. 지능정보연구, 28(2), 147-170.   DOI
30 신규식, 최회련, 이홍철. (2015). 신재생에너지 동향 파악을 위한 토픽 모형 분석. 한국 산학기술학회논문지, 23(3), 1155-1178.
31 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   DOI
32 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.
33 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   DOI
34 Coffey, V. C. (2017). The age of OLED displays. Optics and Photonics News, 28(11), 34-41.   DOI
35 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   DOI
36 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
37 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   DOI