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学者姓名：李欣
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摘要 ：
How to understand the innovation pathways of emerging technologies emerge from technology to market and identifing the future changes and trends in innovation pathways is crucial for enterprises' research and development (R&D) strategic planning, and new production development decision making. The technology roadmapping (TRM) is considered as an effective method to study innovation pathways, and provides a structured approach to map how emerging technologies have evolved from technology to market, and visualize the development relationships among markets, products, and technologies. However, the traditional TRM methods to visualize the innovation pathways, and identify the relationships among markets, products, and technologies mainly relied on experts' opinions, which are considered as time consuming and costly. The technology-relationship-technology (TRT) semantic analysis can semiautomatically extract technology information and the relationships among products, functions, and technologies from patents, which can significantly reduce the bias due to using experts' opinions that are based on intuitive knowledge when roadmapping the innovation pathways from technology to market activities. Therefore, this article integrates TRT semantic analysis and TRM method to propose a framework for monitoring the innovation pathways of emerging technologies and identifying future changes and trends in innovation pathways of emerging technologies. In this framework, first, we use the TRT semantic analysis to extract the TRT structures containing various structural relationships from the patents, and determine the analytical dimensions of TRM based on the TRT structures' characteristics and experts' knowledge. Second, we analyze the various structural relationships in-depth to explore their particular contributions in the process of TRM construction, and construct the technology roadmap to monitor the innovation pathways. Finally, after completing the construction of the TRT-based technology roadmap, we in-depth analyze the technology, function, product evolution paths in the TRM to identify the future changes and trends in innovation pathways with the help of domain experts. To illustrate the implementation of the research framework, we employ the elderly smart wear technology as the case study. This article will contribute to the TRM methodology, and will be of interest to elderly smart wear technology R&D experts and new production development experts.
关键词 ：
elderly smart wear elderly smart wear Innovation pathways Innovation pathways Market research Market research Patents Patents Semantics Semantics Senior citizens Senior citizens Technological innovation Technological innovation technology-relationship-technology (TRT) technology-relationship-technology (TRT) technology roadmap- ping (TRM) technology roadmap- ping (TRM) text mining text mining Text mining Text mining Transmission line measurements Transmission line measurements
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| GB/T 7714 | Miao, Hong , Wang, Yan , Li, Xin et al. Integrating Technology-Relationship-Technology Semantic Analysis and Technology Roadmapping Method: A Case of Elderly Smart Wear Technology [J]. | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2022 , 69 (1) : 262-278 . |
| MLA | Miao, Hong et al. "Integrating Technology-Relationship-Technology Semantic Analysis and Technology Roadmapping Method: A Case of Elderly Smart Wear Technology" . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT 69 . 1 (2022) : 262-278 . |
| APA | Miao, Hong , Wang, Yan , Li, Xin , Wu, Feifei . Integrating Technology-Relationship-Technology Semantic Analysis and Technology Roadmapping Method: A Case of Elderly Smart Wear Technology . | IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT , 2022 , 69 (1) , 262-278 . |
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摘要 ：
As one of the strategic emerging industries, the new energy vehicle (NEV) industry receives strong support from the Chinese government. The Chinese government has formulated a large number of policies to promote the development of NEV industry. Evaluating and analyzing the NEV policies are of great significance for improving policy formulation. In this study, we comprehensively analyze 253 NEV policy texts by employing quantitative and qualitative methods. We present the policy instrument types and semantic structure characteristics of policy texts based on the content analysis. The advantages and disadvantages of policy texts are identified by using a quantitative evaluation model. Our results show that the most frequently used policy instrument is regulatory, and the main policy objective is the demand-pull. The policies with higher scores are more comprehensive. Three suggestions are put forward to improve NEV policies.
关键词 ：
New energy vehicle New energy vehicle Policy evaluation Policy evaluation Policy texts Policy texts
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| GB/T 7714 | Wang, Xiaoli , Huang, Lucheng , Daim, Tugrul et al. Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis [J]. | TECHNOLOGY IN SOCIETY , 2021 , 67 . |
| MLA | Wang, Xiaoli et al. "Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis" . | TECHNOLOGY IN SOCIETY 67 (2021) . |
| APA | Wang, Xiaoli , Huang, Lucheng , Daim, Tugrul , Li, Xin , Li, Zhiqiang . Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis . | TECHNOLOGY IN SOCIETY , 2021 , 67 . |
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摘要 ：
Artificial intelligence (AI) technology is a new focus for international competition, with countries around the world accelerating major outlay to enhance their innovation competitiveness. Identifying the global situation of AI technology is a strategic issue for enterprises and countries. Considering current deficiencies in research directed towards this, the content for analysing technological competition situations should be determined from the two most relevant levels of: 1) technology's dimension; 2) research and development (R&D) actors' dimension, with time (T), market (M), technology (T) and subject (S) as its four elements. This paper, therefore, proposes an analytical framework of technological competition situation, based on the four dimensions of TMTS. AI technology is taken as an example to verify the feasibility and effectiveness of the analytical framework. This paper will contribute to our understanding of the global competitive situation of AI technology, and will be of interest to AI technology's R&D experts.
关键词 ：
artificial intelligence artificial intelligence competitive situation competitive situation four-dimensional analysis four-dimensional analysis patent analysis patent analysis
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| GB/T 7714 | Li, Xin , Fan, Mingjie , Liang, Zheng . Identifying technological competition situations for artificial intelligence technology - a patent landscape analysis [J]. | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT , 2020 , 82 (3-4) : 322-348 . |
| MLA | Li, Xin et al. "Identifying technological competition situations for artificial intelligence technology - a patent landscape analysis" . | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT 82 . 3-4 (2020) : 322-348 . |
| APA | Li, Xin , Fan, Mingjie , Liang, Zheng . Identifying technological competition situations for artificial intelligence technology - a patent landscape analysis . | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT , 2020 , 82 (3-4) , 322-348 . |
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摘要 ：
Monitoring the emergence of emerging technologies helps managers and decision makers to identify development trends in emerging technologies is crucial for government research and development (R&D), strategic planning, social investment, and enterprise practices. Researchers usually use academic papers and patent data to identify and monitoring the trends of emerging technologies from a technological perspective, but they rarely make use of social media data (e.g., such as Twitter data) related to emerging technologies. Analysis of this social media data is of great significance to understand the emergence of emerging technologies and gain insight into development trends. Therefore, this paper proposes a framework that uses patent analysis and Twitter data mining to monitoring the emergence of emerging technologies and identify changing trends of these emerging technologies. The perovskite solar cell technology is selected as a case study. In this case, we used patent analysis to monitoring the evolutionary path of perovskite solar cell technology. We applied Twitter data mining to analyze Twitter users' sense of, response to, and expectations for this perovskite solar cell technology. We also identified the professional types of Twitter users and examined changes in their topics of interest over time to track the emergence of perovskite solar cell technology. We analyzed a comparison of the results of patent analysis and Twitter data mining to identify development trends of perovskite solar cell technology. This paper contributes to our understanding of how technologies emerge and develop, as well as the technology forecasting and foresight methodology, and will be of interest to solar photovoltaic technology R&D experts.
关键词 ：
Emerging technologies Emerging technologies Patent analysis Patent analysis Perovskite solar cell technology Perovskite solar cell technology Technologies emerge Technologies emerge Technology trends Technology trends Twitter data mining Twitter data mining
引用：
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| GB/T 7714 | Li, Xin , Xie, Qianqian , Jiang, Jiaojiao et al. Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology [J]. | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2019 , 146 : 687-705 . |
| MLA | Li, Xin et al. "Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology" . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 146 (2019) : 687-705 . |
| APA | Li, Xin , Xie, Qianqian , Jiang, Jiaojiao , Zhou, Yuan , Huang, Lucheng . Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2019 , 146 , 687-705 . |
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摘要 ：
Disruptive technology introduces new competitive platforms, possesses the ability of initiating new markets, and changes firms' technological competition status. Early identification of candidate application areas will allow for timely adjustment of technology innovation strategies and minimization of risks at firm level. This paper proposes a framework of application areas forecasting process for disruptive technology based on patent data. SIRS epidemic model is analogically introduced by measuring transition velocity of all the entities in the technology diffusion system respectively. We implement the model deterministically to forecast the potential of industrial and technological disruption in the short run, and stochastically to forecast the disruptive technology's major outbreak in candidate application areas in the long run. Radio-frequency identification technology is selected as case study. We conclude by discussing the major outbreak probabilities and potential disruptions of RFID in three different application areas. The results will provide practical suggestion to firms and other stakeholders to facilitate their strategy making when faced with disruptive technologies. (C) 2016 Elsevier Inc. All rights reserved.
关键词 ：
Application areas forecasting Application areas forecasting Disruptive technology Disruptive technology Industrial disruption Industrial disruption SIRS epidemic model SIRS epidemic model Technological disruption Technological disruption Technology forecasting Technology forecasting
引用：
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| GB/T 7714 | Cheng, Yu , Huang, Lucheng , Ramlogan, Ronnie et al. Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology [J]. | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2017 , 117 : 170-183 . |
| MLA | Cheng, Yu et al. "Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology" . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 117 (2017) : 170-183 . |
| APA | Cheng, Yu , Huang, Lucheng , Ramlogan, Ronnie , Li, Xin . Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2017 , 117 , 170-183 . |
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摘要 ：
In recent years, emerging technologies have been attracting increasing attention, especially when those technology-follower countries attempt to develop new technology-based industries that contribute to their global innovation competitiveness. This paper proposes a framework for strategising and planning the emerging technologies-based industry in developing countries like China. This framework addresses three key issues for the technology-followers: 1) the significant capability gaps to catching-up in innovation; 2) the future external environment factors that may influence the innovation gaps; 3) the strategic development pathways that reduce these gaps. This framework integrates traditional roadmapping workshops and patent analysis. The organic light emitting diode (OLED) industry in China is selected as a case study. This study will contribute to the roadmapping and innovation catch-up literature, and will be of interest to OLED industry researchers.
关键词 ：
bibliometrics bibliometrics emerging technologies emerging technologies OLED OLED organic light emitting diode organic light emitting diode patents analysis patents analysis technology roadmapping technology roadmapping TRM TRM
引用：
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| GB/T 7714 | Li, Xin , Zhou, Yuan , Xue, Lan et al. Roadmapping for industrial emergence and innovation gaps to catch-up: a patent-based analysis of OLED industry in China [J]. | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT , 2016 , 72 (1-3) : 105-143 . |
| MLA | Li, Xin et al. "Roadmapping for industrial emergence and innovation gaps to catch-up: a patent-based analysis of OLED industry in China" . | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT 72 . 1-3 (2016) : 105-143 . |
| APA | Li, Xin , Zhou, Yuan , Xue, Lan , Huang, Lucheng . Roadmapping for industrial emergence and innovation gaps to catch-up: a patent-based analysis of OLED industry in China . | INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT , 2016 , 72 (1-3) , 105-143 . |
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