請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/89921完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 王俊傑 | zh_TW |
| dc.contributor.advisor | Chun-Chieh Wang | en |
| dc.contributor.author | 林禕雯 | zh_TW |
| dc.contributor.author | Yi-Wen Lim | en |
| dc.date.accessioned | 2023-09-22T16:41:11Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-09-22 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-08-09 | - |
| dc.identifier.citation | Agreement, P. (2015, December). Paris agreement. In Report of the Conference of the Parties to the United Nations Framework Convention on Climate Change (21st Session, 2015: Paris). Retrived December (Vol. 4, p. 2017). HeinOnline.
Batagelj, V. (2003). Efficient algorithms for citation network analysis. arXiv preprint cs/0309023. Baglieri, D., & Cesaroni, F. (2013). Capturing the real value of patent analysis for R&D strategies. Technology Analysis & Strategic Management, 25(8), 971-986. Biden, J. (2020). The Biden Plan For A Clean Energy Revolution And Environmental Borés, C., Saurina, C., & Torres, R. (2003). Technological convergence: a strategic perspective. Technovation, 23(1), 1-13. Carley, K. M., Hummon, N. P., & Harty, M. (1993). Scientific influence: An analysis of the main path structure in the Journal of Conflict Resolution. Knowledge, 14(4), 417-447. CNN (2022). Dangerously high temperatures will last through the weekend with millions of Americans set to experience triple-digit heat. (https://edition.cnn.com/2022/07/21/weather/us-extreme-heat-thursday/index.html) Chen, K., Zhang, Y., & Fu, X. (2019). International research collaboration: An emerging domain of innovation studies?. Research Policy, 48(1), 149-168. Dechezleprêtre, A., Glachant, M., & Ménière, Y. (2013). What drives the international transfer of climate change mitigation technologies? Empirical evidence from patent data. Environmental and Resource Economics, 54, 161-178. De Marchi, M., Napolitano, G., & Taccini, P. (1996). Testing a model of technological trajectories. Research Policy, 25(1), 13-23.Fawzy, S., Osman, A. I., Doran, J., & Rooney, D. W. (2020). Strategies for mitigation of climate change: a review. Environmental Chemistry Letters, 18, 2069-2094. Franke, T. M., Ho, T., & Christie, C. A. (2012). The chi-square test: Often used and more often misinterpreted. American journal of evaluation, 33(3), 448-458. Fu, H., Wang, M., Li, P., Jiang, S., Hu, W., Guo, X., & Cao, M. (2019). Tracing knowledge development trajectories of the internet of things domain: A main path analysis. IEEE Transactions on Industrial Informatics, 15(12), 6531-6540. Guan, J., & He, Y. (2007). Patent-bibliometric analysis on the Chinese science—technology linkages. Scientometrics, 72(3), 403-425. Hall, B. H., Jaffe, A. B., & Trajtenberg, M. (2001). The NBER patent citation data file: Lessons, insights and methodological tools. Hung, S. C., Liu, J. S., Lu, L. Y., & Tseng, Y. C. (2014). Technological change in lithium iron phosphate battery: the key-route main path analysis. Scientometrics, 100, 97-120. Hung, S. C., Lai, J. Y., & Liu, J. S. (2022). Mapping technological trajectories as the main paths of knowledge flow: Evidence from printers. Industrial and Corporate Change, 31(3), 863-889. Huang, Y., Zhu, F., Porter, A. L., Zhang, Y., Zhu, D., & Guo, Y. (2020). Exploring technology evolution pathways to facilitate technology management: from a technology life cycle perspective. IEEE Transactions on Engineering Management, 68(5), 1347-1359. Jeong, S., Kim, J. C., & Choi, J. Y. (2015). Technology convergence: What developmental stage are we in?. Scientometrics, 104, 841-871. Kang, H. K., Kim, C., Seo, C. H., & Park, Y. (2017). The therapeutic applications of antimicrobial peptides (AMPs): a patent review. Journal of microbiology, 55, 1-12. Kim, G., & Bae, J. (2017). A novel approach to forecast promising technology through patent analysis. Technological Forecasting and Social Change, 117, 228-237. Kim, J., & Shin, J. (2018). Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures. Scientometrics, 116(3), 1439-1459. Kim, S., Yoon, S., Raghavan, N., Le, N. T., & Park, H. (2021). Developmental Trajectories in Blockchain Technology Using Patent-Based Knowledge Network Analysis. IEEE Access, 9, 44704-44717. Lal, R. (2003). Offsetting global CO2 emissions by restoration of degraded soils and intensification of world agriculture and forestry. Land Degradation & Development, 14(3), 309-322. Lee, P. C. (2021). Investigating Long-Term Technological Competitiveness: Originality, Generality, and Longevity. IEEE Transactions on Engineering Management. Lee, W. S., Han, E. J., & Sohn, S. Y. (2015). Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents. Technological Forecasting and Social Change, 100, 317-329. Lee, J., & Lee, K. (2021). Is the fourth industrial revolution a continuation of the third industrial revolution or something new under the sun? Analyzing technological regimes using US patent data. Industrial and Corporate Change, 30(1), 137-159. Lei, D. T. (2000). Industry evolution and competence development: the imperatives of technological convergence. International Journal of Technology Management, 19(7-8), 699-738. Li, Y., Li, N., Li, C., & Li, J. (2020). The boon and bane of creative “stars”: A social network exploration of how and when team creativity is (and is not) driven by a star teammate. Academy of Management Journal, 63(2), 613-635. Liu, J. S., Lu, L. Y., & Ho, M. H. C. (2019). A few notes on main path analysis. Scientometrics, 119, 379-391. Lerner, J., Sorensen, M., & Strömberg, P. (2011). Private equity and long‐run investment: The case of innovation. The Journal of Finance, 66(2), 445-477. Liu, H., Mihm, J., & Sosa, M. E. (2018). Where do stars come from? The role of star vs. nonstar collaborators in creative settings. Organization Science, 29(6), 1149-1169. Liu, Y., & Pearson, C. A. (2014). The importance of talent management: a study of Chinese organisations. Journal of Chinese Economic and Foreign Trade Studies. Mac Kinnon, M. A., Brouwer, J., & Samuelsen, S. (2018). The role of natural gas and its infrastructure in mitigating greenhouse gas emissions, improving regional air quality, and renewable resource integration. Progress in Energy and Combustion science, 64, 62-92. Marmor, A. C., Lawson, W. S., & Terapane, J. F. (1979). The Technology assessment and forecast program of the United States Patent and Trademark Office. World Patent Information, 1(1), 15-23. Pilkington, A., & Dyerson, R. (2006). Innovation in disruptive regulatory environments: A patent study of electric vehicle technology development. European Journal of Innovation Management. Qiao, Z., Huang, L. C., Wu, F. F., Wu, D., & Zhang, H. (2014, July). Analyzing technological knowledge diffusion among technological fields using patent data: The example of microfluidics. In Proceedings of PICMET'14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration (pp. 3103-3111). IEEE. Roco, M. C. (2016). Convergence-divergence process. In Handbook of science and technology convergence (pp. 79-93). Springer, Cham. Rejeb, A., Rejeb, K., Zailani, S. H. M., & Abdollahi, A. (2022). Knowledge diffusion of the Internet of Things (IoT): A main path analysis. Wireless Personal Communications, 126(2), 1177-1207. Rodrigues, T., & Junior, A. B. (2019). Technological prospecting in the production of charcoal: A patent study. Renewable and Sustainable Energy Reviews, 111, 170-183. Szulczewski, M. L., MacMinn, C. W., Herzog, H. J., & Juanes, R. (2012). Lifetime of carbon capture and storage as a climate-change mitigation technology. Proceedings of the National Academy of Sciences, 109(14), 5185-5189. Shih, M. J., Liu, D. R., & Hsu, M. L. (2010). Discovering competitive intelligence by mining changes in patent trends. Expert Systems with Applications, 37(4), 2882-2890. The White House (2022). Statement by President Biden on Senate Passage of the Inflation Reduction Act (https://www.whitehouse.gov/briefing-room/statements-releases/2022/08/07/statement-by-president-biden-on-senate-passage-of-the-inflation-reduction-act/) Trajtenberg, M., Henderson, R., & Jaffe, A. (1997). University versus corporate patents: A window on the basicness of invention. Economics of Innovation and new technology, 5(1), 19-50. UNFCCC, (1997). Kyoto Protocol to the United Nations Framework Convention on Climate Change. Retrieved February 4, 2023 from: https://unfccc.int/sites/default/files/resource/docs/cop3/l07a01.pdf UNFCCC, (2008). Report of the Conference of the Parties on its thirteenth session, held in Bali from 3 to 15 December 2007. Retrieved February 4, 2023 from: https://unfccc.int/resource/docs/2007/cop13/eng/06a01.pdf UNFCCC (2011). Decisions adopted by the Conference of the Parties serving as the meeting of the Parties to the Kyoto Protocol. Retrieved February 4, 2023 from: https://unfccc.int/sites/default/files/resource/cmp2021_8a01_adv.pdf UNFCCC (2012). Doha amendment to the Kyoto Protocol. Retrieved February 4, 2023 from: https://unfccc.int/files/kyoto_protocol/application/pdf/kp_doha_amendment_english.pdf UNFCCC (2016). Report of the Conference of the Parties on its twenty-first session, held in Paris from 30 November to 13 December 2015. Retrieved February 4, 2023 from: https://unfccc.int/resource/docs/2015/cop21/eng/10.pdf USPTO (2023). Classification Resources. Retrieve February 12, 2023 from: https://www.uspto.gov/web/patents/classification/cpc/html/cpc-Y.html USPTO (2023). Classification Resources. Retrieve May 26, 2023 from: https://www.uspto.gov/sites/default/files/documents/patent-7step-classification.pdf Verspagen, B. (2007). Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research. Advances in complex systems, 10(01), 93-115. Veefkind, V., Hurtado-Albir, J., Angelucci, S., Karachalios, K., & Thumm, N. (2012). A new EPO classification scheme for climate change mitigation technologies. World Patent Information, 34(2), 106-111. Werfel, S. H., & Jaffe, A. B. (2013). Induced innovation and technology trajectory: Evidence from smoking cessation products. Research Policy, 42(1), 15-22. Wright, L., & Fulton, L. (2005). Climate change mitigation and transport in developing nations. Transport Reviews, 25(6), 691-717. Xu, S., Hao, L., An, X., Pang, H., & Li, T. (2020). Review on emerging research topics with key-route main path analysis. Scientometrics, 122(1), 607-624. Yu, T. Y., Yu, T. K., & Chao, C. M. (2017). Understanding Taiwanese undergraduate students’ pro-environmental behavioral intention towards green products in the fight against climate change. Journal of Cleaner Production, 161, 390-402. Zhang, H., Daim, T., & Zhang, Y. P. (2021). Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain. Technological Forecasting and Social Change, 167, 120729. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/89921 | - |
| dc.description.abstract | 氣候變遷仍是當今世界面臨的最重要全球挑戰之一，需要緊急而有效的緩解策略。解決這個複雜的問題需要多方面的方法，包括創新技術的開發和應用、政策調整以及個人行為的改變。在眾多分析方法中，關鍵路徑主要路徑分析成為一種強大的工具，可用於識別技術或系統實現成功所必須走的最重要途徑或路線。本論文旨在通過關鍵路徑主要路徑分析，針對氣候變遷緩解中的技術融合與發散問題填補重要的研究空白。本論文致力於為氣候變遷緩解領域做出重要的貢獻，並探索該領域的人才合作。通過分析在主要路徑上的人才與不在主要路徑上的人才之間的關係，以更清晰地了解人才合作。本研究使用了普遍性和原創性來探索主路徑中的不同階段，雖然未見明顯的差異，但是配合主路徑中的分合還是可以分辨得出不同的階段。最後，通過不同階段内，人才合作的模式，我們更能瞭解在氣候變遷緩解領域内，合作類型要依據所在的階段，第二階段中非主路徑上的組合最能產出第三階段中主路徑上的人才，而第三階段則是要仰賴主路徑上的人才，才能產出第四階段中主路徑上的人才。 | zh_TW |
| dc.description.abstract | Climate change remains one of the most critical global challenges of our time, necessitating urgent and effective mitigation strategies. Addressing this complex issue requires a multifaceted approach, involving the development and deployment of innovative technologies, policy adjustments, and changes in individual behavior. Among various analytical methods, Key-Route Main Path Analysis emerges as a powerful tool to identify the most crucial pathways or routes that a technology or system must traverse to achieve success. This thesis aims to address a significant research gap by specifically examining technology convergence and divergence in the context of climate change mitigation through the lens of Key-Route Main Path Analysis. By analyzing the relations between talent-on-the-main-path and talent-off-the-main-path to see a clearer view of talent collaboration. In conclusion, by examining the patterns of talent collaboration across different stages, we can better understand that in the field of climate change mitigation, the types of collaboration should be aligned with the respective stage. In the second stage, talent combinations that diverge from the main path are most likely to produce talents that contribute to the main path in the third stage. Meanwhile, the third stage relies on talents from the main path to generate talents for the main path in the fourth stage. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-09-22T16:41:11Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-09-22T16:41:11Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 誌謝 i
中文摘要 ii Abstract iii Content v List of Figures vii List of Tables viii Chapter 1: Introduction 1 1.1 Background 1 1.2 Motivation 3 1.3 Purpose 5 Chapter 2: Literature Review 7 2.1 Climate Change Mitigation Technology (CCMT) 7 2.2 Main Path 10 2.2.1 The Analysis of Technology Trajectories and Main Path 11 2.2.2 Convergent-divergent Patterns of Main Path 14 2.2.3 Technology Convergence-divergence in Talent 20 2.3 Patentometrics Analysis 21 2.3.1 Patent Data in Main Path Analysis 22 2.3.2 Originality and Generality 27 2.3.3 Talents in technology Convergent-divergent Phases 30 Chapter 3: Methodology 31 3.1 Research Steps 31 3.2 Data Collection 32 3.2.1 CCMT Patent Collection 32 3.2.2 Patent Citation Pair Output and the Authority Control Processing 36 3.3 Key-Route Main Path Analysis 37 3.4 Originality and Generality Indicators 41 3.5 Talent Collaboration Analysis 43 Chapter 4: Result 48 4.1 Convergence and Divergence in Main Path 48 4.1.1 Junctions in Main Path 48 4.1.2 Stages in Main Path 54 4.2 Talent-on-the-main-path and talent-off-the-main-path 67 4.2.1 Talents within each group 67 4.2.2 Talents within different stages 73 Chapter 5: Conclusion and Suggestion 81 5.1 Conclusion 81 5.1.1 The Technologies for Mitigation of Climate Change related to Buildings (Y02B) could be Differentiate Using Generality and Originality 81 5.1.2 Talent-off-the-main-path is being Led to the Main Path from the Stage 3 to Stage 4 82 References 86 | - |
| dc.language.iso | en | - |
| dc.subject | 減緩氣候變遷 | zh_TW |
| dc.subject | 人才合作 | zh_TW |
| dc.subject | 關鍵主路徑分析 | zh_TW |
| dc.subject | 技術融合與發散 | zh_TW |
| dc.subject | technologies | en |
| dc.subject | convergence and divergence | en |
| dc.subject | key-route main path analysis | en |
| dc.subject | climate change mitigation | en |
| dc.subject | talent collaboration | en |
| dc.title | 技術主路徑中融合與發散階段的合作人才表現：以減緩氣候變遷技術爲例 | zh_TW |
| dc.title | The Technology Convergence, Divergence, and Talent Collaboration in Climate Change Mitigation through Key-Route Main Path Analysis | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 薛招治;董蕙茹 | zh_TW |
| dc.contributor.oralexamcommittee | Chao-Chih Hsueh;Huei-Ru Dong | en |
| dc.subject.keyword | 減緩氣候變遷,技術融合與發散,關鍵主路徑分析,人才合作, | zh_TW |
| dc.subject.keyword | climate change mitigation,technologies,convergence and divergence,key-route main path analysis,talent collaboration, | en |
| dc.relation.page | 93 | - |
| dc.identifier.doi | 10.6342/NTU202303415 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2023-08-12 | - |
| dc.contributor.author-college | 生物資源暨農學院 | - |
| dc.contributor.author-dept | 生物產業傳播暨發展學系 | - |
| 顯示於系所單位： | 生物產業傳播暨發展學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-111-2.pdf | 10.17 MB | Adobe PDF | 檢視/開啟 |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。