Quantifying the Process of Patent Right Quality Evaluation : Combined Application of AHP, Text Mining and Regression Analysis
0
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
Technology-oriented national R&D programs produce intellectual property as their final result. Patents, as typical industrial intellectual property, are therefore considered an important factor when evaluating the outcome of R&D programs. Among the main components of patent evaluation, in particular, the patent right quality is a key component constituting patent value, together with marketability and usability. Current approaches for patent right quality evaluation rely mostly on intrinsic knowledge of patent attorneys, and the recent rapid increase of national R&D patents is making expert-based evaluation costly and time-consuming. Therefore, this study defines a hierarchy of patent right quality and then proposes how to quantify the evaluation process of patent right quality by combining text mining and regression analysis. This study will contribute to understanding of the systemic view of the patent right quality evaluation, as well as be an efficient aid for evaluating patents in R&D program assessment processes.
Abstract
Technology-oriented national R&D programs produce intellectual property as their final result. Patents, as typical industrial intellectual property, are therefore considered an important factor when evaluating the outcome of R&D programs. Among the main components of patent evaluation, in particular, the patent right quality is a key component constituting patent value, together with marketability and usability. Current approaches for patent right quality evaluation rely mostly on intrinsic knowledge of patent attorneys, and the recent rapid increase of national R&D patents is making expert-based evaluation costly and time-consuming. Therefore, this study defines a hierarchy of patent right quality and then proposes how to quantify the evaluation process of patent right quality by combining text mining and regression analysis. This study will contribute to understanding of the systemic view of the patent right quality evaluation, as well as be an efficient aid for evaluating patents in R&D program assessment processes.
참고문헌 (49)
- Aiken, L. S., "Handbook of psychology" (2003)
- Banwet, D., "Evaluating performance of national R&D organizations using integrated DEAAHP technique", International Journal of Productivity and Performance Management, 57(5), pp.370~388 (2008)
- Bergmann, "Evaluating the risk of patent infringement by means of semantic patent analysis : the case of DNA chips", R&D Management, 38(5), pp.550~562 (2008)
- Berry, M.W., "Survey of text mining : clustering, classification, and retrieval" (2004), Springer-Verlag New York Inc
- Bilbao-Osorio, B., "From R&D to innovation and economic growth in the EU", Growth and Change, 35(4), pp.434~455 (2004)
- Chiu, Y.-J., "Using AHP in patent valuation", Mathematical and Computer Modelling, 46(7-8), pp.1054~1062 (2007)
- Choi, "Patent function network analysis : A function based approach for analyzing patent information" (2010)
- Choi, "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), pp.863~883 (2011)
- Chunlin, S., "The strategy of designing around existing patents in technology innovation : Case study of critical technology of OTFT", Journal of Chinese Entrepreneurship, 2(3), pp.270~281 (2010)
- Coccia, M., "What is the optimal rate of R&D investment to maximize productivity growth?", Technological Forecasting and Social Change, 76(3), pp.433~446 (2009)
- Cohen, W.M., "Patents in the knowledge-based economy" (2003), National Academies Press
- Dereli, T., "A trend-based patent alert system for technology watch", Journal of Scientific and Industrial Research, 68(8), pp.674~ (2009)
- Gerdsri, N., "Applying the analytic hierarchy process (AHP) to build a strategic framework for technology roadmapping", Mathematical and Computer Modelling, 46(7-8), pp.1071~1080 (2007)
- Green, W.H., "Econometric analysis" (2000)
- Gueorguieva, "The Program Assessment Rating Tool and the Government Performance and Results Act", The American Review of Public Administration, 39(3), pp.225~245 (2009)
- Hirose, Y., "Patent Valuation Model and PatVM" (2005), Toyo Keizai
- Ho, W., "Integrated analytic hierarchy process and its applications-A literature review", European Journal of Operational Research, 186(1), pp.211~228 (2008)
- Huang, C. C., "A fuzzy AHP application in government-sponsored R&D project selection", Omega, 36(6), pp.1038~1052 (2008)
- Imoto, S., "Fuzzy regression model of R&D project evaluation", Applied Soft Computing, 8(3), pp.1266~1273 (2008)
- Janasik, N., "Text Mining in Qualitative Research", Organizational Research Methods, 12(3), pp.436~ (2009)
- Jun, S., "Technology Forecasting Using Frequency Time Series Model : Bio-Technology Patent Analysis", Journal of Modern Mathematics and Statistics, 4(3), pp.101~104 (2010)
- KIIP, "Development and application of indicators for intellectual property competitiveness" (2010), Korea Institute of Intellectual Property
- KIIP, "Development of Quantitative Patent Quality Measures for Government Supported Research and Development Programs" (2010), Korea Institute of Intellectual Property
- Lee, S. K., "The competitiveness of Korea as a developer of hydrogen energy technology : The AHP approach", Energy policy, 36(4), pp.1284~1291 (2008)
- Li, Y. R., "Extracting the significant-rare keywords for patent analysis", Expert Systems with Applications, 36(3), pp.5200~5204 (2009)
- Liang, W. Y., "The analytic hierarchy process in project evaluation : an R&D case study in Taiwan", Benchmarking : An International Journal, 10(5), pp.445~456 (2003)
- Magerman, T., "Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications", Scientometrics, 82(2), pp.289~306 (2010)
- Merito, M., "Do incentives to industrial R&D enhance research productivity and firm growth? Evidence from the Italian case", International Journal of Technology Management, 49(1), pp.25~48 (2010)
- OECD, "The knowledge-based economy" (1996), OECD
- Oostdijk, N., "Constructing a broad-coverage lexicon for text mining in the patent domain" (2010)
- Ortega, J. L., "Collaboration patterns in patent networks and their relationship with the transfer of technology :the case study of the CSIC patents", Scientometrics, 87(3), pp.657~666 (2011)
- Parent, O., "Determinants of knowledge production and their effects on regional economic growth", Journal of Regional Science (2011)
- Park, H., "Identifying patent infringement using SAO based semantic technological similarities", Scientometrics, 90(2), pp.515~529 (2012)
- Piras, G., "Specialization, R&D and productivity growth: evidence from EU regions", The Annals of Regional Science, pp.1~17 (2010)
- Rodriguez, J.C., "Innovation Trends in NAFTA Countries : An Econometric Analysis of Patent Applications", Journal of Technology Management and Innovation, 6(3), pp.116~125 (2011)
- Report of the Advisory Committee for GPRA Performance Assessment FY 2007, "Rogers, G.M.", ~, pp.NSF-07-207 (2007)
- Saaty, T.L., "Models, Methods, Concepts and Applications of the Analytic Hierarchy Process", pp.27~46 (2001)
- Saaty, T.L., "How to make a decision : the analytic hierarchy process", European journal of operational research, 48(1), pp.9~26 (1990)
- Seol, H., "Identifying new business areas using patent information : A DEA and text mining approach", Expert Systems with Applications, 38(4), pp.2933~2941 (2011)
- Srivastava, A., "Text mining : Classification, clustering, and applications", pp.2009, Chapman and Hall
- Stam, E., "The roles of R&D in new firm growth", Small Business Economics, 33(1), pp.77~89 (2009)
- Tikoria, J., "Performance measurement of national R&D organisations using analytic hierarchy process : a case of India", International Journal of Innovation and Regional Development, 1(3), pp.276~300 (2009)
- Wang, J., "A performanceoriented risk management framework for innovative R&D projects", Technovation, 30(11-12), pp.601~611 (2010)
- Wei, C. C., "An AHP-based approach to ERP system selection", International Journal of Production Economics, 96(1), pp.47~62 (2005)
- Yamada, Y., "Text Mining for Analysis of Interviews and Questionnaires" (2011)
- Yang, "Enhancing patent landscape analysis with visualization output", World Patent Information, 32(3), pp.203~220 (2010)
- Yoon, J., "An Automated Method for Identifying TRIZ Trends from Patents", Expert Systems with Applications, 38(12), pp.15540~15548 (2011)
- Yoon, J., "Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks", Scientometrics, 88(1), pp.213~228 (2011)