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
[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.
冯立杰, 刘可辉, 王金凤, 张珂, 张世斌. 基于知识网络与多维技术创新地图的技术机会识别路径研究与应用*[J]. 数据分析与知识发现, 2023, 7(8): 62-77.
Feng Lijie, Liu Kehui, Wang Jinfeng, Zhang Ke, Zhang Shibin. Identifying Opportunities Based on Knowledge Network and Multidimensional Map of Technology Innovation. Data Analysis and Knowledge Discovery, 2023, 7(8): 62-77.
(Zhai Dongsheng, Guo Cheng, Zhang Jie, et al. Identifying Technology Opportunities with Anomaly Detection Technique[J]. New Technology of Library and Information Service, 2016(10): 81-90.)
(Han Yan, Peng Aidong. Study on Technology Opportunity Identification Based on Elements of Technology Formation: A Case of the Technology of Medical Service Robot[J]. Information Studies: Theory & Application, 2020, 43(5): 156-162.)
[3]
Song K, Kim K S, Lee S. Discovering New Technology Opportunities Based on Patents: Text-Mining and F-term Analysis[J]. Technovation, 2017, 60-61: 1-14.
[4]
Lee J, Ko N, Yoon J, et al. An Approach for Discovering Firm-Specific Technology Opportunities: Application of Link Prediction to F-term Networks[J]. Technological Forecasting and Social Change, 2021, 168: 120746.
doi: 10.1016/j.techfore.2021.120746
(Ren Jiani, Zhang Wei, Yang Yang, et al. Research on Identification of Emerging Technologies of “Artificial Intelligence + Medical”—As the Case of Medical Robot[J]. Journal of Intelligence, 2021, 40(12): 45-50.)
[6]
Ma T T, Zhou X, Liu J, et al. Combining Topic Modeling and SAO Semantic Analysis to Identify Technological Opportunities of Emerging Technologies[J]. Technological Forecasting and Social Change, 2021, 173: 121159.
doi: 10.1016/j.techfore.2021.121159
[7]
Yoon B, Park I, Yun D, et al. Exploring Promising Vacant Technology Areas in a Technology-Oriented Company Based on Bibliometric Analysis and Visualisation[J]. Technology Analysis & Strategic Management, 2019, 31(4): 388-405.
[8]
Lee C, Jeon D, Ahn J M, et al. Navigating a Product Landscape for Technology Opportunity Analysis: A Word2Vec Approach Using an Integrated Patent-Product Database[J]. Technovation, 2020, 96-97: 102140.
[9]
Russo D, Spreafico M, Precorvi A. Discovering New Business Opportunities with Dependent Semantic Parsers[J]. Computers in Industry, 2020, 123: 103330.
doi: 10.1016/j.compind.2020.103330
[10]
Mun C, Yoon S, Raghavan N, et al. Function Score-Based Technological Trend Analysis[J]. Technovation, 2021, 101: 102199.
doi: 10.1016/j.technovation.2020.102199
[11]
Teng F, Sun Y L, Chen F, et al. Technology Opportunity Discovery of Proton Exchange Membrane Fuel Cells Based on Generative Topographic Mapping[J]. Technological Forecasting and Social Change, 2021, 169: 120859.
doi: 10.1016/j.techfore.2021.120859
(Huang Lucheng, Li Xiaoyu, Li Jin. Research on Technology Opportunity Identification Method of ABOD-RFM Based on Patent[J]. Information Studies: Theory & Application, 2020, 43(9): 144-149.)
doi: 10.16353/j.cnki.1000-7490.2020.09.021
(Feng Lijie, You Hongyu, Wang Jinfeng. Research on the Path of Patent Innovation Technology Opportunities and Their Evaluation[J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(5): 513-522.)
(Liu Ziqiang, Yue Lixin, Xu Haiyun, et al. Construction of a Temporal Co-word Network and Its Dynamic Visualization[J]. Journal of the China Society for Scientific and Technical Information, 2020, 39(2): 186-198.)
[15]
Zhu X, Zhang Y Q. Co-word Analysis Method Based on Meta-path of Subject Knowledge Network[J]. Scientometrics, 2020, 123(2): 753-766.
doi: 10.1007/s11192-020-03400-0
[16]
Ba Z C, Mao J, Ma Y X, et al. Exploring the Effect of City-Level Collaboration and Knowledge Networks on Innovation: Evidence from Energy Conservation Field[J]. Journal of Informetrics, 2021, 15(3): 101198.
doi: 10.1016/j.joi.2021.101198
(Xu Haiyun, Wang Chao, Yue Zenghui, et al. A Measurement Method to the Uncertainty Trend of Emerging Research Topics Using the Changes in Knowledge Network Strength[J]. Information Studies: Theory & Application, 2021, 44(11): 89-98.)
doi: 10.16353/j.cnki.1000-7490.2021.11.013
[18]
Yang Z L, Zhang W J, Yuan F, et al. Measuring Topic Network Centrality for Identifying Technology and Technological Development in Online Communities[J]. Technological Forecasting and Social Change, 2021, 167: 120673.
doi: 10.1016/j.techfore.2021.120673
(Xu Xin, Chen Luyao, Yang Jiaying. Knowledge Network Evolvement in Digital Humanities Domain: Based on Keywords Co-word Analysis of Bibliography and Citation Context[J]. Journal of the China Society for Scientific and Technical Information, 2019, 38(3): 322-334.)
[21]
Behrouzi S, Sarmoor Z S, Hajsadeghi K, et al. Predicting Scientific Research Trends Based on Link Prediction in Keyword Networks[J]. Journal of Informetrics, 2020, 14(4): 101079.
doi: 10.1016/j.joi.2020.101079
[22]
Gao Q, Liang Z T, Wang P, et al. Potential Index: Revealing the Future Impact of Research Topics Based on Current Knowledge Networks[J]. Journal of Informetrics, 2021, 15(3): 101165.
doi: 10.1016/j.joi.2021.101165
(Wang Jinfeng, Wu Min, Yue Junju, et al. Research on the Path of Technology Opportunity Identification in the Innovation Process[J]. Information Studies: Theory & Application, 2017, 40(8): 82-86.)
doi: 1016353/jcnki10007490201708015
(Feng Lijie. Yuanyi Innovation Method: Nine Dimensions and Nine Methods of Technological Innovation[M]. Chongqing: Chongqing University Press, 2020: 26-42.)
(Feng Lijie, Zeng Xiaohong, Wang Jinfeng, et al. A Three Level Method for Technology Opportunity Identification and Its Application Based on SAO Semantic Analysis and Multidimensional Map of Technology Innovation[J]. Science & Technology Progress and Policy, 2021, 38(19): 1-10.)
(Feng Lijie, Cao Jian, Wang Jinfeng, et al. Method and Application of Technology Innovation Opportunity Recognition Based on FBS and Multidimensional Map of Technology Innovation[J]. Information Studies: Theory & Application, 2020, 43(12): 89-95.)
doi: 10.16353/j.cnki.1000-7490.2020.12.014
[27]
Saad S E, Yang J. Twitter Sentiment Analysis Based on Ordinal Regression[J]. IEEE Access, 2019, 7: 163677-163685.
doi: 10.1109/ACCESS.2019.2952127
[28]
Liu Q, Zheng Z Q, Zheng J B, et al. Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach[J]. Journal of Medical Internet Research, 2020, 22(4): e19118.
doi: 10.2196/19118
(Cao Xing, Sun Qiyue. The Mechanism of Cross-Border Integration of Emerging Technology Knowledge Network and Its Empirical Research[J]. Studies in Science of Science, 2021, 39(5): 854-866.)
(Xiong Huixiang, Zhou Xin, Yang Mengting. Health Information Interaction Research Based on SNA in Microblog[J]. Information Science, 2021, 39(2): 9-17.)
(Chen Ye, Wang Le, Chen Tianyu, et al. Research on User Profile of Social Q&A Platform Participants Based on Social Network Analysis[J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(4): 414-423.)
(Li Zhiqian, Fan Shide. Research on Network Structure of Yangtze River Delta Urban Agglomeration:Based on Social Network Analysis[J]. East China Economic Management, 2021, 35(6): 31-41.)
(Huang Weihua, Yao Zonghao. Current Situation and Spatial Structure of Scientific Research Cooperation and Innovation Among Universities in Guangdong-Hong Kong-Macao Greater Bay Area: Analysis of Social Networks Based on the National Knowledge Infrastructure Database[J]. Science and Technology Management Research, 2022, 42(7): 87-93.)
(Chen Ying. Comprehensive Evaluation Value of the Digital Resource Service of University Libraries Based on the Combined Weighting Model and TOPSIS Method[J]. Library and Information Service, 2020, 64(2): 59-67.)
doi: 10.13266/j.issn.0252-3116.2020.02.007
[35]
Song Y W, Wang H R, Wang R, et al. Novel Approach for High-Efficiency Recovery of Titanium Dioxide, Hydrochloric Acid, and Organic Solvents from Titanium White Waste Acid[J]. Journal of Cleaner Production, 2021, 315: 128105.
doi: 10.1016/j.jclepro.2021.128105
(Zhang Mei. Research on Production Process of Cryolite and By-Product Silica White by Sodium Hydroxide-Sodium Fluosilicate Method[J]. Inorganic Chemicals Industry, 2010, 42(4): 36-38.)
(Qi Haiping, Du Jianbao, Cai Yuangeng. Comprehensive Utilization of Waste Acid and Ferrous Sulfate from Titanium Dioxide Production by Sulfuric Acid Process[J]. Shandong Chemical Industry, 2021, 50(20): 256-257.)
(Yang Haizhou, Qin Lingling, Chen Gang. Research Progress for Recovery and Comprehensive Utilization of Waste Acid from Titanium Dioxide Production[J]. Guangdong Chemical Industry, 2018, 45(16): 118-119.)
(Zhang Zhengang, Luo Taiye. Technology Opportunity Discovery Based on Knowledge Combination Theory[J]. Science Research Management, 2020, 41(8): 220-228.)
(Zhang Zhengang, Luo Taiye. Technology Opportunity Identification Based on RFM Model and Stochastic Actor-Oriented Model[J]. Journal of the China Society for Scientific and Technical Information, 2021, 40(1): 53-61.)