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Identifying Opportunities Based on Knowledge Network and Multidimensional Map of Technology Innovation |
Feng Lijie1,2,Liu Kehui1(),Wang Jinfeng2,Zhang Ke3,Zhang Shibin4 |
1School of Management, Zhengzhou University, Zhengzhou 450001, China 2China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China 3School of Information Management, Zhengzhou University, Zhengzhou 450001, China 4School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, China |
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Abstract [Objective] This paper aims to accurately identify technology opportunities using a knowledge network and multidimensional map of technology innovation, which will enhance the enterprises’ core competitiveness. [Methods] Firstly, we extracted technology keywords based on existing patent data and created innovation dimensions. Secondly, we constructed a knowledge network to analyze the importance of keywords and innovation dimensions. Finally, we identified technology opportunities and determined their priority with the multidimensional map of technology innovation. [Results] We examined the new method with patent data of barium sulfate preparation from titanium dioxide waste acid (from 2012 to 2021). We found that the five types of technological opportunities identified by this method can provide helpful theoretical decision-making support for enterprises to choose innovative directions. [Limitations] We only examined the new method with existing patents and technology keywords. We should have comprehensively studied technology development trends. [Conclusions] Identifying technology opportunities based on knowledge networks and multidimensional maps of technology innovation can improve the accuracy of identification results.
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Received: 14 July 2022
Published: 22 March 2023
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Fund:Joint Funds of the National Natural Science Foundation of China(U1904210-4);Shanghai Science and Technology Program(20040501300);Zhengzhou University Youth Talent Enterprise Cooperation Innovation Team Support Project(132-32320423) |
Corresponding Authors:
Liu Kehui, ORCID:0000-0002-6906-8965,E-mail:lk135646829251@163.com。
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