ABSTRACT
Technology opportunity analysis (TOA) is of great help to technology innovation and R&D strategy of enterprises. Most previous studies of TOA only focused on scientific research or technology development phases, seldom linking technology opportunities to business applications. Using both patent and trademark data, we focused on the linkage of technology and business areas and discovered technology opportunities based on firms’ existing technology base. First, we extracted common product keywords from two data sources to construct document-keyword matrices. Then, we matched patents and trademarks with common keywords to build the relevancy network between technology and the business areas. Finally, we discovered technology opportunities from potential undeveloped business areas, taking into account technology-business relevancy and firms’ technology base. We conducted a case study on 3D printing to test our method.
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Xiaotong Han
Xiaotong Han is a PHD candidate of the School of Management and Economics, Beijing Institute of Technology. Her current specialty is technology innovation management and tech mining.
Donghua Zhu
Donghua Zhu is a Professor of the School of Management and Economics, Beijing Institute of Technology and was a Senior Visiting Scholar at School of Public Policy, Georgia Institute of Technology. His current specialty is data mining, technology assessment and forecasting.
Xuefeng Wang
Xuefeng Wang is a Professor of the School of Management and Economics, Beijing Institute of Technology. His current specialty is technology innovation management and tech mining.
Tugrul Daim
Tugrul Daim is a Professor of Engineering and Technology Management, Portland State University and an editor in Chief IEEE Transactions on Engineering Management. His current specialty is technology forecasting.
Yali Qiao
Yali Qiao is a PHD candidate of the School of Management and Economics, Beijing Institute of Technology. Her current specialty is technology innovation management and tech mining.