Commenced in January 2007
Paper Count: 32020
Development of a Technology Assessment Model by Patents and Customers' Review Data
Abstract:Recent years have seen an increasing number of patent disputes due to excessive competition in the global market and a reduced technology life-cycle; this has increased the risk of investment in technology development. While many global companies have started developing a methodology to identify promising technologies and assess for decisions, the existing methodology still has some limitations. Post hoc assessments of the new technology are not being performed, especially to determine whether the suggested technologies turned out to be promising. For example, in existing quantitative patent analysis, a patent’s citation information has served as an important metric for quality assessment, but this analysis cannot be applied to recently registered patents because such information accumulates over time. Therefore, we propose a new technology assessment model that can replace citation information and positively affect technological development based on post hoc analysis of the patents for promising technologies. Additionally, we collect customer reviews on a target technology to extract keywords that show the customers’ needs, and we determine how many keywords are covered in the new technology. Finally, we construct a portfolio (based on a technology assessment from patent information) and a customer-based marketability assessment (based on review data), and we use them to visualize the characteristics of the new technologies.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1130127Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 813
 C. Lee, B. Kang, and J. Shin, “Novelty-focused patent mapping for technology opportunity analysis”, Technological Forecasting and Social Change, Vol. 90, pp.335-365, 2015.
 B. Yoon, “Strategic visualization tools for managing technological information”, Technology analysis & Strategic Management, Vol. 22, No.3, pp. 377-397, 2010.
 C. Lee, J. Jeon, and Y. Park, “Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach”, Technological Forecasting and Social Change, Vol. 78, No. 4, pp. 690-702, 2011
 T. B. Astebro, and K. B. Dahlin, “Opportunity knocks”, Research Policy, Vol.34, No.9, pp.1404-1418, 2005.
 J. Cho, and J. Lee, “Development of a new technology product evaluation model for assessing commercialization opportunities using Delphi method and fuzzy AHP approach, Expert Systems with Applications, Vol. 40, No. 13, pp. 5314-5330, 2013.
 B. Yoon, R. Phaal, and D. Probert, “Morphology analysis for technology roadmapping: application of text mining”, R&D management, Vol.38, No.1, pp.51-68, 2008.
 B. Yoon, “On the development of a technology intelligence tool for identifying technology opportunity”, Expert Systems with Applications, Vol.33, No.1, pp.124-135, 2008.
 Y. Kim, J, Suh, and S. Park, “Visualization of patent analysis for emerging technology, Expert Systems with Applications, Vol. 34, No.3, pp. 1804-1812.
 H. Park, K. Kim, S. Choi, and J. Yoon, “A patent intelligence system for strategic technology planning”, Expert Systems with Applications, Vol. 40, No.7, pp. 2373-2390.
 B. Benson, and A. P. Sage, and G. Cook, “Emerging technology-evaluation methodology: With application to micro-electromechanical systems”, Engineering Management, IEEE Transctions on, Vol.40, No.2, pp. 114-123.
 J. Yoon, and K. Kim, “Detecting signals of new technological opportunities using semantic patent analysis and outlier detection, Scientometrics, Vol. 90, No.2, pp. 445-461, 2012.