Publications-Theses
Article View/Open
Publication Export
-
題名 從技術融合與跨領域探討數位競爭力
Investigating Technology Convergence and Interdisciplinarity for Digital Competitiveness at Country Level作者 周立婕
Chou, Li-Chieh貢獻者 李沛錞
Lee, Pei–Chun
周立婕
Chou, Li-Chieh關鍵詞 技術融合
跨領域
數位競爭力
通用技術
Technology Convergence
Technology Fusion
Interdisciplinary
Digital Competitiveness
General-purpose technologies日期 2022 上傳時間 1-Aug-2022 17:44:26 (UTC+8) 摘要 數位經濟，對於這個複雜的新興結構的討論，可謂方興未艾，不同的面向如火如荼地被提出，但其共同點不外乎在於數位技術的迅速發展、跨國產業的劇烈競爭以及科技革新促成的產業典範轉移，使大多數產業必須重視數位轉型，再者，知識儼然成為現行經濟活動中最具意義的資本，即知識是作為獲得社會和經濟成果的手段，亦是審度己身在數位經濟中所具競爭力之重要依據。 數位技術顯然是催化新經濟秩序誕生的重要角色，故本研究利用1981年至2021年計算相關技術之專利資料，從技術層面深掘數位競爭力之議題，探究技術融合與跨領域是否能促進國家數位競爭力，以及技術融合與跨領域對於數位競爭力的影響程度。 研究結果顯示計算相關之技術，無論是其本身技術的創新或是其所產生的技術融合與跨領域，與國家數位競爭力排名皆呈高度相關性，且在近5年來尤以跨領域與國家數位競爭力排名的相關性最高，意即作為通用技術的「計算」可以為技術融合與跨領域提供動力，並就其衍伸之技術融合與跨領域，在國家數位競爭力排名的名次表現上具重要地位。 值得一提的是，研究結果亦顯示了在國家數位競爭力排名的名次呈現上，擁有較多計算相關技術的專利的國家，在國家數位競爭力排名上通常都名列前茅，且其在技術融合與跨領域也會具有較龐大的規模。因此，本研究主張縱然過去的研究表明，數位競爭力所重視的是採用和探索數位技術的能力，但擁有或研發與數位技術相關的的技術所有權，亦會是在數位競爭力中重要的競爭籌碼之一。
There is a lot of discussion about the complex emerging structure of the digital economy, but what they have in common is that the rapid development of digital technologies, the fierce competition from multinational industries, and the shift of industrial paradigms due to technological innovation have made it necessary for most industries to focus on digital transformation, and furthermore, knowledge has become the most meaningful capital in current economic activities, i.e., knowledge as a means to obtain social and economic outcomes and as important evidence to assess one`s competitiveness in the digital economy. Therefore, this study explore the issue of digital competitiveness at the technological level by the patent data of computing-related technologies from 1981 to 2021 , to investigate whether technological convergence and interdisciplinary technology can promote national digital competitiveness, and the degree of influence of technological convergence and interdisciplinary technology on digital competitiveness. The results of the study show that computing-related technologies are highly correlated with national digital competitiveness rankings, both in terms of their own technological innovation and the resulting technological convergence and interdisciplinary technology, and the correlation between interdisciplinary technology and national digital competitiveness rankings has been the highest in the past five years, meaning that computing, as a general-purpose technology, can provide impetus for technological convergence and interdisciplinary technology, and that the technology convergence and interdisciplinary technology derived from it can provide impetus for national digital competitiveness rankings. The study also shows that "computing" as a general-purpose technology can provide impetus for technology convergence and interdisciplinary technology, and that its derivative technology convergence and interdisciplinary technology are important in the ranking of national digital competitiveness. It is worth mentioning that the results of the study also show that countries with more patents in computing-related technologies are usually ranked high in the national digital competitiveness ranking, and they also have a larger scale in technology convergence and interdisciplinary technology. Therefore, this study argues that although past studies have shown that digital competitiveness emphasizes the ability to adopt and explore digital technologies, the possession or development of technology ownership related to digital technologies is also an important competitive chip in digital competitiveness.參考文獻 一、 中文文獻 張書豪. (2016). 以多重觀點探討國際間技術領域知識流動策略. 8:3, 159–176. 經濟部智慧財產局. (2019, October 22). 智慧財產局專利主題網 [文字]. 經濟部智慧財產局; 經濟部智慧財產局. https://topic.tipo.gov.tw/patents-tw/sp-ipcq-full-101.html 財團法人資訊工業策進會. (2020, July 22). 數位轉型化育者 | 資策會. 財團法人資訊工業策進會. https://www.iii.org.tw/Publish/DTSPages.aspx?fm_sqno=86 二、 外文文獻 Adner, R. (2017). Ecosystem as Structure: An Actionable Construct for Strategy. Journal of Management, 43(1), 39–58. https://doi.org/10.1177/0149206316678451 Akima, H. (1970). A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures. Journal of the ACM, 17(4), 589–602. https://doi.org/10.1145/321607.321609 Ardito, L., Petruzzelli, A. M., & Albino, V. (2015). Developing general purpose technologies: An investigation in the green energy field. In J. C. Spender, G. Schiuma, & V. Albino (Eds.), Ifkad 2015: 10th International Forum on Knowledge Asset Dynamics: Culture, Innovation and Entrepreneurship: Connecting the Knowledge Dots (pp. 1964–1975). Ikam-Inst Knowledge Asset Management.https://www.webofscience.com/wos/woscc/full-ecord/WOS:000357265200152 Arturo, B. (2017). The IMD World Digital Competitiveness Ranking | IMD article. IMD Business School. https://www.imd.org/research-knowledge/articles/the-imd-world-digital-competitiveness-ranking/ Artz, K. W., Norman, P. M., Hatfield, D. E., & Cardinal, L. B. (2010). A Longitudinal Study of the Impact of R&D, Patents, and Product Innovation on Firm Performance. Journal of Product Innovation Management, 27(5), 725–740. https://doi.org/10.1111/j.1540-5885.2010.00747.x Baily, M. N., & Lawrence, R. Z. (2001). Do We Have a New E-conomy? American Economic Review, 91(2), 308–312. https://doi.org/10.1257/aer.91.2.308 Bainbridge, W. S., & Roco, M. C. (2016). Science and technology convergence: With emphasis for nanotechnology-inspired convergence. Journal of Nanoparticle Research, 18(7), 211. https://doi.org/10.1007/s11051-016-3520-0 Becker, M. C., Knudsen, T., & Swedberg, R. (2012). Schumpeter’s Theory of Economic Development: 100 years of development. Journal of Evolutionary Economics, 22(5), 917–933. https://doi.org/10.1007/s00191-012-0297-x Belényesi, P. (2015). Sweden: Digital Competitiveness and Digital Evolution - Why Are Nordic Countries Ahead? European Networks Law and Regulation Quarterly (ENLR), 3(3), 215–222. https://www.proquest.com/docview/1731750482/abstract/63971EDEB33A435CPQ/1 Benner, M., & Waldfogel, J. (2008). Close to you? Bias and precision in patent-based measures of technological proximity. Research Policy, 37(9), 1556–1567. https://doi.org/10.1016/j.respol.2008.05.011 Bresnahan, T. (2010). Chapter 18—General Purpose Technologies. In B. H. Hall & N. Rosenberg (Eds.), Handbook of the Economics of Innovation (Vol. 2, pp. 761–791). North-Holland. https://doi.org/10.1016/S0169-7218(10)02002-2 Bresnahan, T. F., & Trajtenberg, M. (1995). General purpose technologies ‘Engines of growth’? Journal of Econometrics, 65(1), 83–108. https://doi.org/10.1016/0304-4076(94)01598-T Carlsson, B. (2004). The Digital Economy: What is new and what is not? Structural Change and Economic Dynamics, 15(3), 245–264. https://doi.org/10.1016/j.strueco.2004.02.001 Caviggioli, F. (2016). Technology fusion: Identification and analysis of the drivers of technology convergence using patent data. Technovation, 55–56, 22–32. https://doi.org/10.1016/j.technovation.2016.04.003 Chang H.-M. (2021, February 20). The COVID-19 Pandemic Brings 12 Possible Changes to the World, Which May Well Reshape the Economy and Society-HUMANITIES & SOCIAL SCIENCES:Taiwan Research Highlight. https://trh.gase.most.ntnu.edu.tw/en/article/content/184 Chen, R.-M. (2021). The Similarities and Distances of Growth Rates Related to COVID-19 Between Different Countries Based on Spectral Analysis. Frontiers in Public Health, 9, 695141. https://doi.org/10.3389/fpubh.2021.695141 Curran, C.-S. (2013a). Introduction. In C.-S. Curran (Ed.), The Anticipation of Converging Industries: A Concept Applied to Nutraceuticals and Functional Foods (pp. 1–7). Springer. https://doi.org/10.1007/978-1-4471-5170-8_1 Curran, C.-S. (2013b). The Anticipation of Converging Industries. Springer London. https://doi.org/10.1007/978-1-4471-5170-8 Curran, C.-S., Bröring, S., & Leker, J. (2010). Anticipating converging industries using publicly available data. Technological Forecasting and Social Change, 77(3), 385–395. https://doi.org/10.1016/j.techfore.2009.10.002 Curran, C.-S., & Leker, J. (2011). Patent indicators for monitoring convergence – examples from NFF and ICT. Technological Forecasting and Social Change, 78(2), 256–273. https://doi.org/10.1016/j.techfore.2010.06.021 Deng, S., Yan, X., Ng, K. K. W., Jiang, C., & Cheng, J. (2019). Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets. In C. Baru, J. Huan, L. Khan, X. H. Hu, R. Ak, Y. Tian, R. Barga, C. Zaniolo, K. Lee, & Y. F. Ye (Eds.), 2019 Ieee International Conference on Big Data (big Data) (pp. 1066–1071). Ieee. https://www.webofscience.com/wos/woscc/full-record/WOS:000554828701018 Despite challenge from Asia, “The West” leads in digital—US, Canada and seven European countries in top 10 | IMD News. (2018). IMD Business School. https://www.imd.org/news/updates/imd-world-digital-competitiveness-ranking-2018/ Duysters, G., & Hagedoorn, J. (1998). Technological Convergence in the IT Industry: The Role of Strategic Technology Alliances and Technological Competencies. International Journal of the Economics of Business, 5(3), 355–368. https://doi.org/10.1080/13571519884431 Feldman, M. P., & Yoon, J. W. (2012). An empirical test for general purpose technology: An examination of the Cohen–Boyer rDNA technology. Industrial and Corporate Change, 21(2), 249–275. https://doi.org/10.1093/icc/dtr040 Frietsch, R., Neuhäusler, P., Jung, T., & Van Looy, B. (2014). Patent indicators for macroeconomic growth—The value of patents estimated by export volume. Technovation, 34(9), 546–558. https://doi.org/10.1016/j.technovation.2014.05.007 GASE. (2021, March 18). Staying on Top of the Global Digital Transformation Trend-HUMANITIES & SOCIAL SCIENCES:Taiwan Research Highlight. https://trh.gase.most.ntnu.edu.tw/en/article/content/193 Glushkova, S., Belotserkovich, D., Morgunovа, N., & Yuzhakova, Y. (2019). The role of smartphones and the internet in developing countries. Revista ESPACIOS, 40(27). https://www.revistaespacios.com/a19v40n27/19402710.html Guan, J., & Zhao, Q. (2013). The impact of university–industry collaboration networks on innovation in nanobiopharmaceuticals. Technological Forecasting and Social Change, 80(7), 1271–1286. https://doi.org/10.1016/j.techfore.2012.11.013 Hacklin, F., Marxt, C., & Fahrni, F. (2009). Coevolutionary cycles of convergence: An extrapolation from the ICT industry. Technological Forecasting and Social Change, 76(6), 723–736. https://doi.org/10.1016/j.techfore.2009.03.003 Hacklin, F., & Wallin, M. W. (2013). Convergence and interdisciplinarity in innovation management: A review, critique, and future directions. The Service Industries Journal, 33(7–8), 774–788. https://doi.org/10.1080/02642069.2013.740471 Hagedoorn, J. (1993). Understanding the rationale of strategic technology partnering: Interorganizational modes of cooperation and sectoral differences. Strategic Management Journal, 14(5), 371–385. https://doi.org/10.1002/smj.4250140505 Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: Is there an advantage in using multiple indicators? Research Policy, 32(8), 1365–1379. https://doi.org/10.1016/S0048-7333(02)00137-3 Hall, B., & Trajtenberg, M. (2004). Uncovering GPTS with patent data. Hu, A. G. Z., & Jaffe, A. B. (2003). Patent citations and international knowledge flow: The cases of Korea and Taiwan. International Journal of Industrial Organization, 21(6), 849–880. https://doi.org/10.1016/S0167-7187(03)00035-3 IMD World Digital Competitiveness Ranking 2019—Report. (n.d.). IMD Business School. Retrieved October 27, 2021, from https://www.imd.org/research-knowledge/reports/imd-world-digital-competitiveness-ranking-2019/ Institute for Management Development IMD. (2020, October 7). The IMD World Digital Competitiveness Ranking 2019. https://www.youtube.com/watch?v=CPbT8umgaTY International Patent Classification: Frequently Asked Questions. (n.d.). Retrieved November 28, 2021, from https://www.wipo.int/classifications/ipc/en/faq/index.html Ioan, R., & Raluca, P. (2013). The Development of Information and Communication Technologies Sector in the Context of the New Economy. 6. Jeong, S., Kim, J.-C., & Choi, J. Y. (2015). Technology convergence: What developmental stage are we in? Scientometrics, 104(3), 841–871. https://doi.org/10.1007/s11192-015-1606-6 Jing, P., DongQing, Y., ShiWei, T., TengJiao, W., & Jun, G. (2008). A new similarity computing method based on concept similarity in Chinese text processing. Science in China Series F-Information Sciences, 51(9), 1215–1230. https://doi.org/10.1007/s11432-008-0103-4 Jones, C. (2009). Interdisciplinary Approach—Advantages, Disadvantages, and the Future Benefits of Interdisciplinary Studies. 7, 7. Jovanovic, B., & Rousseau, P. L. (2002). Moore’s Law and Learning by Doing. Review of Economic Dynamics, 5(2), 346–375. https://doi.org/10.1006/redy.2002.0162 Jovanovic, B., & Rousseau, P. L. (2005). Chapter 18—General Purpose Technologies. In P. Aghion & S. N. Durlauf (Eds.), Handbook of Economic Growth (Vol. 1, pp. 1181–1224). Elsevier. https://doi.org/10.1016/S1574-0684(05)01018-X Karvonen, M., & Kässi, T. (2013). Patent citations as a tool for analysing the early stages of convergence. Technological Forecasting and Social Change, 80(6), 1094–1107. https://doi.org/10.1016/j.techfore.2012.05.006 Kim, E., Cho, Y., & Kim, W. (2014). Dynamic patterns of technological convergence in printed electronics technologies: Patent citation network. Scientometrics, 98(2), 975–998. https://doi.org/10.1007/s11192-013-1104-7 Klein, A. (2004). Stealing Time: Steve Case, Jerry Levin, and the Collapse of AOL Time Warner. Simon and Schuster. Klein, J. T. (2008). Evaluation of Interdisciplinary and Transdisciplinary Research: A Literature Review. American Journal of Preventive Medicine, 35(2, Supplement), S116–S123. https://doi.org/10.1016/j.amepre.2008.05.010 Ko, N., Yoon, J., & Seo, W. (2014). Analyzing interdisciplinarity of technology fusion using knowledge flows of patents. Expert Systems with Applications, 41(4), 1955–1963. https://doi.org/10.1016/j.eswa.2013.08.091 Lee, S. M., Olson, D. L., & Trimi, S. (2010). The Impact of Convergence on Organizational Innovation. Organizational Dynamics, 39(3), 218–225. https://doi.org/10.1016/j.orgdyn.2010.03.004 Lerner, J. (2002). 150 Years of Patent Protection. American Economic Review, 92(2), 221–225. https://doi.org/10.1257/000282802320189294 Li, Y., Dai, J., & Cui, L. (2020). The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. International Journal of Production Economics, 229, 107777. https://doi.org/10.1016/j.ijpe.2020.107777 Lindfield, G., & Penny, J. (2018). Numerical Methods: Using MATLAB. Academic Press. Miethlich, B., Belotserkovich, D., Abasova, S., Zatsarinnaya, Е., & Veselitsky, O. (2020). Digital economy and its influence on competitiveness of countries and regions. Revista ESPACIOS, 41(12). http://ww.revistaespacios.com/a20v41n12/20411220.html Miraz, M. H., Ali, M., Excell, P. S., & Picking, R. (2015). A review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT). 2015 Internet Technologies and Applications (ITA), 219–224. https://doi.org/10.1109/ITechA.2015.7317398 Monath, N., Jones, C., & Madhavan, S. (2021). Disambiguating Inventors, Assignees, and Locations. 23. Moser, P., & Nicholas, T. (2004). Was Electricity a General Purpose Technology? Evidence from Historical Patent Citations. American Economic Review, 94(2), 388–394. https://doi.org/10.1257/0002828041301407 Mukhomorova, I. V., Akopova, E. S., Pavlova, L. K., & Sheveleva, V. V. (2020). Global Competitiveness of the Digital Economy: The Problem of Measuring and Management. In E. G. Popkova & B. S. Sergi (Eds.), Digital Economy: Complexity and Variety vs. Rationality (pp. 23–29). Springer International Publishing. https://doi.org/10.1007/978-3-030-29586-8_3 Natick, M. (2001). Curve fitting toolbox: For use with MATLAB: user’s guide. The MathWorks, Inc. http://cda.psych.uiuc.edu/matlab_pdf/curvefit.pdf Neef, D. (2001). E-procurement: From Strategy to Implementation. FT Press. Nemet, G. F., & Johnson, E. (2012). Do important inventions benefit from knowledge originating in other technological domains? Research Policy, 41(1), 190–200. https://doi.org/10.1016/j.respol.2011.08.009 No, H. J., & Park, Y. (2010). Trajectory patterns of technology fusion: Trend analysis and taxonomical grouping in nanobiotechnology. Technological Forecasting and Social Change, 77(1), 63–75. https://doi.org/10.1016/j.techfore.2009.06.006 OECD. (2019). Digitalisation and productivity: A story of complementarities (Vol. 2019, Issue 1, pp. 55–83). OECD. https://doi.org/10.1787/5713bd7d-en Ozcan, S., & Unalan, S. (2022). Blockchain as a General-Purpose Technology: Patentometric Evidence of Science, Technologies, and Actors. Ieee Transactions on Engineering Management, 69(3), 792–809. https://doi.org/10.1109/TEM.2020.3008859 Park, H., & Yoon, J. (2014). Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: The case of Korean national R&D. Scientometrics, 98(2), 853–890. https://doi.org/10.1007/s11192-013-1109-2 Park, W. G. (2008). International patent protection: 1960–2005. Research Policy, 37(4), 761–766. https://doi.org/10.1016/j.respol.2008.01.006 Penin, J. (2005). Patents versus ex post rewards: A new look. Research Policy, 34(5), 641–656. https://doi.org/10.1016/j.respol.2005.02.005 Petralia, S. (2020). Mapping general purpose technologies with patent data. Research Policy, 49(7), 104013. https://doi.org/10.1016/j.respol.2020.104013 Priem, R. L., Wenzel, M., & Koch, J. (2018). Demand-side strategy and business models: Putting value creation for consumers center stage. Long Range Planning, 51(1), 22–31. https://doi.org/10.1016/j.lrp.2017.07.007 Qiu, R., & Cantwell, J. (2016). The international geography of general purpose technologies (GPTs) and internationalisation of corporate technological innovation. Industry and Innovation, 25, 1–24. https://doi.org/10.1080/13662716.2016.1264065 Rafols, I., Leydesdorff, L., O’Hare, A., Nightingale, P., & Stirling, A. (2012). How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management. Research Policy, 41(7), 1262–1282. https://doi.org/10.1016/j.respol.2012.03.015 Roco, M. C., & Bainbridge, W. S. (2013). The new world of discovery, invention, and innovation: Convergence of knowledge, technology, and society. Journal of Nanoparticle Research, 15(9), 1946. https://doi.org/10.1007/s11051-013-1946-1 Roepke, S., & Moehrle, M. G. (2014). Sequencing the evolution of technologies in a system-oriented way: The concept of technology-DNA. Journal of Engineering and Technology Management, 32, 110–128. https://doi.org/10.1016/j.jengtecman.2013.08.005 Roper, S., & Hewitt-Dundas, N. (2015). Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data. Research Policy, 44(7), 1327–1340. https://doi.org/10.1016/j.respol.2015.03.003 Rosenkopf, L., & Nerkar, A. (2001). Beyond local search: Boundary-spanning, exploration, and impact in the optical disk industry. Strategic Management Journal, 22(4), 287–306. https://doi.org/10.1002/smj.160 Schummer, J. (2004). Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology. Scientometrics, 59(3), 425–465. https://doi.org/10.1023/b:scie.0000018542.71314.38 Shea, C. M., Grinde, R., & Elmslie, B. (2011). Nanotechnology as general-purpose technology: Empirical evidence and implications. Technology Analysis & Strategic Management, 23(2), 175–192. https://doi.org/10.1080/09537325.2011.543336 Skare, M., & Riberio Soriano, D. (2021). How globalization is changing digital technology adoption: An international perspective. Journal of Innovation & Knowledge. https://doi.org/10.1016/j.jik.2021.04.001 Su, H.-N., & Moaniba, I. M. (2017). Investigating the dynamics of interdisciplinary evolution in technology developments. Technological Forecasting and Social Change, 122, 12–23. https://doi.org/10.1016/j.techfore.2017.04.024 Sukekawa, M., & Nakayama, A. (1999). Application of molecular similarity analysis in 3D-QSAR of neonicotinoid insecticides. Journal of Pesticide Science, 24(1), 38–43. https://www.webofscience.com/wos/woscc/full-record/WOS:000078971400008 TAPSCOTT, D. (1995). Digital Economy, The: Promise and Peril in the Age of Networked Intelligence (NEW YORK). McGraw-Hill. //repo.unikadelasalle.ac.id%2Findex.php%3Fp%3Dshow_detail%26id%3D1598%26keywords%3D Volberda, H. W., Khanagha, S., Baden-Fuller, C., Mihalache, O. R., & Birkinshaw, J. (2021). Strategizing in a digital world: Overcoming cognitive barriers, reconfiguring routines and introducing new organizational forms. Long Range Planning, 102110. https://doi.org/10.1016/j.lrp.2021.102110 von Wartburg, I., Teichert, T., & Rost, K. (2005). Inventive progress measured by multi-stage patent citation analysis. Research Policy, 34(10), 1591–1607. https://doi.org/10.1016/j.respol.2005.08.001 World Digital Competitiveness Rankings—IMD. (2021). IMD business school. https://www.imd.org/centers/world-competitiveness-center/rankings/world-digital-competitiveness/ Youtie, J., Iacopetta, M., & Graham, S. (2008). Assessing the nature of nanotechnology: Can we uncover an emerging general purpose technology? Journal of Technology Transfer, 33(3), 315–329. https://doi.org/10.1007/s10961-007-9030-6 描述 碩士
國立政治大學
圖書資訊與檔案學研究所
109155012資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109155012 資料類型 thesis dc.contributor.advisor 李沛錞 zh_TW dc.contributor.advisor Lee, Pei–Chun en_US dc.contributor.author (Authors) 周立婕 zh_TW dc.contributor.author (Authors) Chou, Li-Chieh en_US dc.creator (作者) 周立婕 zh_TW dc.creator (作者) Chou, Li-Chieh en_US dc.date (日期) 2022 en_US dc.date.accessioned 1-Aug-2022 17:44:26 (UTC+8) - dc.date.available 1-Aug-2022 17:44:26 (UTC+8) - dc.date.issued (上傳時間) 1-Aug-2022 17:44:26 (UTC+8) - dc.identifier (Other Identifiers) G0109155012 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/141146 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 圖書資訊與檔案學研究所 zh_TW dc.description (描述) 109155012 zh_TW dc.description.abstract (摘要) 數位經濟，對於這個複雜的新興結構的討論，可謂方興未艾，不同的面向如火如荼地被提出，但其共同點不外乎在於數位技術的迅速發展、跨國產業的劇烈競爭以及科技革新促成的產業典範轉移，使大多數產業必須重視數位轉型，再者，知識儼然成為現行經濟活動中最具意義的資本，即知識是作為獲得社會和經濟成果的手段，亦是審度己身在數位經濟中所具競爭力之重要依據。 數位技術顯然是催化新經濟秩序誕生的重要角色，故本研究利用1981年至2021年計算相關技術之專利資料，從技術層面深掘數位競爭力之議題，探究技術融合與跨領域是否能促進國家數位競爭力，以及技術融合與跨領域對於數位競爭力的影響程度。 研究結果顯示計算相關之技術，無論是其本身技術的創新或是其所產生的技術融合與跨領域，與國家數位競爭力排名皆呈高度相關性，且在近5年來尤以跨領域與國家數位競爭力排名的相關性最高，意即作為通用技術的「計算」可以為技術融合與跨領域提供動力，並就其衍伸之技術融合與跨領域，在國家數位競爭力排名的名次表現上具重要地位。 值得一提的是，研究結果亦顯示了在國家數位競爭力排名的名次呈現上，擁有較多計算相關技術的專利的國家，在國家數位競爭力排名上通常都名列前茅，且其在技術融合與跨領域也會具有較龐大的規模。因此，本研究主張縱然過去的研究表明，數位競爭力所重視的是採用和探索數位技術的能力，但擁有或研發與數位技術相關的的技術所有權，亦會是在數位競爭力中重要的競爭籌碼之一。 zh_TW dc.description.abstract (摘要) There is a lot of discussion about the complex emerging structure of the digital economy, but what they have in common is that the rapid development of digital technologies, the fierce competition from multinational industries, and the shift of industrial paradigms due to technological innovation have made it necessary for most industries to focus on digital transformation, and furthermore, knowledge has become the most meaningful capital in current economic activities, i.e., knowledge as a means to obtain social and economic outcomes and as important evidence to assess one`s competitiveness in the digital economy. Therefore, this study explore the issue of digital competitiveness at the technological level by the patent data of computing-related technologies from 1981 to 2021 , to investigate whether technological convergence and interdisciplinary technology can promote national digital competitiveness, and the degree of influence of technological convergence and interdisciplinary technology on digital competitiveness. The results of the study show that computing-related technologies are highly correlated with national digital competitiveness rankings, both in terms of their own technological innovation and the resulting technological convergence and interdisciplinary technology, and the correlation between interdisciplinary technology and national digital competitiveness rankings has been the highest in the past five years, meaning that computing, as a general-purpose technology, can provide impetus for technological convergence and interdisciplinary technology, and that the technology convergence and interdisciplinary technology derived from it can provide impetus for national digital competitiveness rankings. The study also shows that "computing" as a general-purpose technology can provide impetus for technology convergence and interdisciplinary technology, and that its derivative technology convergence and interdisciplinary technology are important in the ranking of national digital competitiveness. It is worth mentioning that the results of the study also show that countries with more patents in computing-related technologies are usually ranked high in the national digital competitiveness ranking, and they also have a larger scale in technology convergence and interdisciplinary technology. Therefore, this study argues that although past studies have shown that digital competitiveness emphasizes the ability to adopt and explore digital technologies, the possession or development of technology ownership related to digital technologies is also an important competitive chip in digital competitiveness. en_US dc.description.tableofcontents 摘要 ii Abstract iii 目次 v 圖目次 ix 表目次 xi 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 5 第三節 研究問題 5 第四節 研究範圍與限制 6 第五節 名詞解釋 7 一、 數位經濟(Digital Economy) 7 二、 數位競爭力(Digital Competitiveness) 7 三、 技術融合(Technology Convergence/ Technology Fusion) 7 四、 跨領域(Interdisciplinary) 7 五、 通用技術(General-purpose technologies, GPTs) 8 第二章 文獻探討 9 第一節 國家數位競爭力 9 第二節 技術融合 18 第三節 跨領域技術 23 第四節 通用技術 26 第五節 小結 30 第三章 研究設計與實施 35 第一節 研究工具 35 第二節 研究對象 39 第三節 分析方法 40 一、 專利數據敘述統計 44 二、 技術融合分析 44 三、 跨領域分析 44 四、 技術融合、跨領域與國家數位競爭力相關性分析 45 第四節 研究步驟與時程 48 第四章 研究結果 50 第一節 專利數據之敘述統計 50 一、 專利資料數量 50 二、 依國家分群專利數量分布 51 三、 國際專利分類數量與分布 54 第二節 技術融合分析 57 第三節 跨領域分析 59 第四節 依國家分群之專利數量、技術融合和跨領域與國家數位競爭力排名的相關性分析 61 一、 專利數量與國家數位競爭力排名 62 二、 技術融合次數與國家數位競爭力排名 64 三、 跨領域次數與國家數位競爭力排名 66 第五章 結論與建議 68 第一節 研究結論 68 第二節 未來研究方向與建議 70 一、從技術層面提升國家數位競爭力排名 70 二、未來研究方向 71 參考文獻 72 一、 中文文獻 72 二、 外文文獻 72 附錄一 IMD世界數位競爭力歷年評測摘要 81 一、2017年IMD 世界數位競爭力排名 81 二、2018年IMD 世界數位競爭力排名 84 三、2019年IMD 世界數位競爭力排名 88 四、2020年IMD 世界數位競爭力排名 91 五、2021年IMD 世界數位競爭力排名 95 附錄二 PatentsView 數據收集說明 99 一、數據收集階段(Data Collection Phase) 99 二、消除歧義階段(Disambiguation Phase) 99 三、數據後處理階段(Post-Processing Phase) 104 四、數據更新上傳階段(Data Delivery Phase) 105 zh_TW dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109155012 en_US dc.subject (關鍵詞) 技術融合 zh_TW dc.subject (關鍵詞) 跨領域 zh_TW dc.subject (關鍵詞) 數位競爭力 zh_TW dc.subject (關鍵詞) 通用技術 zh_TW dc.subject (關鍵詞) Technology Convergence en_US dc.subject (關鍵詞) Technology Fusion en_US dc.subject (關鍵詞) Interdisciplinary en_US dc.subject (關鍵詞) Digital Competitiveness en_US dc.subject (關鍵詞) General-purpose technologies en_US dc.title (題名) 從技術融合與跨領域探討數位競爭力 zh_TW dc.title (題名) Investigating Technology Convergence and Interdisciplinarity for Digital Competitiveness at Country Level en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 一、 中文文獻 張書豪. (2016). 以多重觀點探討國際間技術領域知識流動策略. 8:3, 159–176. 經濟部智慧財產局. (2019, October 22). 智慧財產局專利主題網 [文字]. 經濟部智慧財產局; 經濟部智慧財產局. https://topic.tipo.gov.tw/patents-tw/sp-ipcq-full-101.html 財團法人資訊工業策進會. (2020, July 22). 數位轉型化育者 | 資策會. 財團法人資訊工業策進會. https://www.iii.org.tw/Publish/DTSPages.aspx?fm_sqno=86 二、 外文文獻 Adner, R. (2017). Ecosystem as Structure: An Actionable Construct for Strategy. Journal of Management, 43(1), 39–58. https://doi.org/10.1177/0149206316678451 Akima, H. (1970). A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures. Journal of the ACM, 17(4), 589–602. https://doi.org/10.1145/321607.321609 Ardito, L., Petruzzelli, A. M., & Albino, V. (2015). Developing general purpose technologies: An investigation in the green energy field. In J. C. Spender, G. Schiuma, & V. Albino (Eds.), Ifkad 2015: 10th International Forum on Knowledge Asset Dynamics: Culture, Innovation and Entrepreneurship: Connecting the Knowledge Dots (pp. 1964–1975). Ikam-Inst Knowledge Asset Management.https://www.webofscience.com/wos/woscc/full-ecord/WOS:000357265200152 Arturo, B. (2017). The IMD World Digital Competitiveness Ranking | IMD article. IMD Business School. https://www.imd.org/research-knowledge/articles/the-imd-world-digital-competitiveness-ranking/ Artz, K. W., Norman, P. M., Hatfield, D. E., & Cardinal, L. B. (2010). A Longitudinal Study of the Impact of R&D, Patents, and Product Innovation on Firm Performance. Journal of Product Innovation Management, 27(5), 725–740. https://doi.org/10.1111/j.1540-5885.2010.00747.x Baily, M. N., & Lawrence, R. Z. (2001). Do We Have a New E-conomy? American Economic Review, 91(2), 308–312. https://doi.org/10.1257/aer.91.2.308 Bainbridge, W. S., & Roco, M. C. (2016). Science and technology convergence: With emphasis for nanotechnology-inspired convergence. Journal of Nanoparticle Research, 18(7), 211. https://doi.org/10.1007/s11051-016-3520-0 Becker, M. C., Knudsen, T., & Swedberg, R. (2012). Schumpeter’s Theory of Economic Development: 100 years of development. Journal of Evolutionary Economics, 22(5), 917–933. https://doi.org/10.1007/s00191-012-0297-x Belényesi, P. (2015). Sweden: Digital Competitiveness and Digital Evolution - Why Are Nordic Countries Ahead? European Networks Law and Regulation Quarterly (ENLR), 3(3), 215–222. https://www.proquest.com/docview/1731750482/abstract/63971EDEB33A435CPQ/1 Benner, M., & Waldfogel, J. (2008). Close to you? Bias and precision in patent-based measures of technological proximity. Research Policy, 37(9), 1556–1567. https://doi.org/10.1016/j.respol.2008.05.011 Bresnahan, T. (2010). Chapter 18—General Purpose Technologies. In B. H. Hall & N. Rosenberg (Eds.), Handbook of the Economics of Innovation (Vol. 2, pp. 761–791). North-Holland. https://doi.org/10.1016/S0169-7218(10)02002-2 Bresnahan, T. F., & Trajtenberg, M. (1995). General purpose technologies ‘Engines of growth’? Journal of Econometrics, 65(1), 83–108. https://doi.org/10.1016/0304-4076(94)01598-T Carlsson, B. (2004). The Digital Economy: What is new and what is not? Structural Change and Economic Dynamics, 15(3), 245–264. https://doi.org/10.1016/j.strueco.2004.02.001 Caviggioli, F. (2016). Technology fusion: Identification and analysis of the drivers of technology convergence using patent data. Technovation, 55–56, 22–32. https://doi.org/10.1016/j.technovation.2016.04.003 Chang H.-M. (2021, February 20). The COVID-19 Pandemic Brings 12 Possible Changes to the World, Which May Well Reshape the Economy and Society-HUMANITIES & SOCIAL SCIENCES:Taiwan Research Highlight. https://trh.gase.most.ntnu.edu.tw/en/article/content/184 Chen, R.-M. (2021). The Similarities and Distances of Growth Rates Related to COVID-19 Between Different Countries Based on Spectral Analysis. Frontiers in Public Health, 9, 695141. https://doi.org/10.3389/fpubh.2021.695141 Curran, C.-S. (2013a). Introduction. In C.-S. Curran (Ed.), The Anticipation of Converging Industries: A Concept Applied to Nutraceuticals and Functional Foods (pp. 1–7). Springer. https://doi.org/10.1007/978-1-4471-5170-8_1 Curran, C.-S. (2013b). The Anticipation of Converging Industries. Springer London. https://doi.org/10.1007/978-1-4471-5170-8 Curran, C.-S., Bröring, S., & Leker, J. (2010). Anticipating converging industries using publicly available data. Technological Forecasting and Social Change, 77(3), 385–395. https://doi.org/10.1016/j.techfore.2009.10.002 Curran, C.-S., & Leker, J. (2011). Patent indicators for monitoring convergence – examples from NFF and ICT. Technological Forecasting and Social Change, 78(2), 256–273. https://doi.org/10.1016/j.techfore.2010.06.021 Deng, S., Yan, X., Ng, K. K. W., Jiang, C., & Cheng, J. (2019). Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets. In C. Baru, J. Huan, L. Khan, X. H. Hu, R. Ak, Y. Tian, R. Barga, C. Zaniolo, K. Lee, & Y. F. Ye (Eds.), 2019 Ieee International Conference on Big Data (big Data) (pp. 1066–1071). Ieee. https://www.webofscience.com/wos/woscc/full-record/WOS:000554828701018 Despite challenge from Asia, “The West” leads in digital—US, Canada and seven European countries in top 10 | IMD News. (2018). IMD Business School. https://www.imd.org/news/updates/imd-world-digital-competitiveness-ranking-2018/ Duysters, G., & Hagedoorn, J. (1998). Technological Convergence in the IT Industry: The Role of Strategic Technology Alliances and Technological Competencies. International Journal of the Economics of Business, 5(3), 355–368. https://doi.org/10.1080/13571519884431 Feldman, M. P., & Yoon, J. W. (2012). An empirical test for general purpose technology: An examination of the Cohen–Boyer rDNA technology. Industrial and Corporate Change, 21(2), 249–275. https://doi.org/10.1093/icc/dtr040 Frietsch, R., Neuhäusler, P., Jung, T., & Van Looy, B. (2014). Patent indicators for macroeconomic growth—The value of patents estimated by export volume. Technovation, 34(9), 546–558. https://doi.org/10.1016/j.technovation.2014.05.007 GASE. (2021, March 18). Staying on Top of the Global Digital Transformation Trend-HUMANITIES & SOCIAL SCIENCES:Taiwan Research Highlight. https://trh.gase.most.ntnu.edu.tw/en/article/content/193 Glushkova, S., Belotserkovich, D., Morgunovа, N., & Yuzhakova, Y. (2019). The role of smartphones and the internet in developing countries. Revista ESPACIOS, 40(27). https://www.revistaespacios.com/a19v40n27/19402710.html Guan, J., & Zhao, Q. (2013). The impact of university–industry collaboration networks on innovation in nanobiopharmaceuticals. Technological Forecasting and Social Change, 80(7), 1271–1286. https://doi.org/10.1016/j.techfore.2012.11.013 Hacklin, F., Marxt, C., & Fahrni, F. (2009). Coevolutionary cycles of convergence: An extrapolation from the ICT industry. Technological Forecasting and Social Change, 76(6), 723–736. https://doi.org/10.1016/j.techfore.2009.03.003 Hacklin, F., & Wallin, M. W. (2013). Convergence and interdisciplinarity in innovation management: A review, critique, and future directions. The Service Industries Journal, 33(7–8), 774–788. https://doi.org/10.1080/02642069.2013.740471 Hagedoorn, J. (1993). Understanding the rationale of strategic technology partnering: Interorganizational modes of cooperation and sectoral differences. Strategic Management Journal, 14(5), 371–385. https://doi.org/10.1002/smj.4250140505 Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: Is there an advantage in using multiple indicators? Research Policy, 32(8), 1365–1379. https://doi.org/10.1016/S0048-7333(02)00137-3 Hall, B., & Trajtenberg, M. (2004). Uncovering GPTS with patent data. Hu, A. G. Z., & Jaffe, A. B. (2003). Patent citations and international knowledge flow: The cases of Korea and Taiwan. International Journal of Industrial Organization, 21(6), 849–880. https://doi.org/10.1016/S0167-7187(03)00035-3 IMD World Digital Competitiveness Ranking 2019—Report. (n.d.). IMD Business School. Retrieved October 27, 2021, from https://www.imd.org/research-knowledge/reports/imd-world-digital-competitiveness-ranking-2019/ Institute for Management Development IMD. (2020, October 7). The IMD World Digital Competitiveness Ranking 2019. https://www.youtube.com/watch?v=CPbT8umgaTY International Patent Classification: Frequently Asked Questions. (n.d.). Retrieved November 28, 2021, from https://www.wipo.int/classifications/ipc/en/faq/index.html Ioan, R., & Raluca, P. (2013). The Development of Information and Communication Technologies Sector in the Context of the New Economy. 6. Jeong, S., Kim, J.-C., & Choi, J. Y. (2015). Technology convergence: What developmental stage are we in? Scientometrics, 104(3), 841–871. https://doi.org/10.1007/s11192-015-1606-6 Jing, P., DongQing, Y., ShiWei, T., TengJiao, W., & Jun, G. (2008). A new similarity computing method based on concept similarity in Chinese text processing. Science in China Series F-Information Sciences, 51(9), 1215–1230. https://doi.org/10.1007/s11432-008-0103-4 Jones, C. (2009). Interdisciplinary Approach—Advantages, Disadvantages, and the Future Benefits of Interdisciplinary Studies. 7, 7. Jovanovic, B., & Rousseau, P. L. (2002). Moore’s Law and Learning by Doing. Review of Economic Dynamics, 5(2), 346–375. https://doi.org/10.1006/redy.2002.0162 Jovanovic, B., & Rousseau, P. L. (2005). Chapter 18—General Purpose Technologies. In P. Aghion & S. N. Durlauf (Eds.), Handbook of Economic Growth (Vol. 1, pp. 1181–1224). Elsevier. https://doi.org/10.1016/S1574-0684(05)01018-X Karvonen, M., & Kässi, T. (2013). Patent citations as a tool for analysing the early stages of convergence. Technological Forecasting and Social Change, 80(6), 1094–1107. https://doi.org/10.1016/j.techfore.2012.05.006 Kim, E., Cho, Y., & Kim, W. (2014). Dynamic patterns of technological convergence in printed electronics technologies: Patent citation network. Scientometrics, 98(2), 975–998. https://doi.org/10.1007/s11192-013-1104-7 Klein, A. (2004). Stealing Time: Steve Case, Jerry Levin, and the Collapse of AOL Time Warner. Simon and Schuster. Klein, J. T. (2008). Evaluation of Interdisciplinary and Transdisciplinary Research: A Literature Review. American Journal of Preventive Medicine, 35(2, Supplement), S116–S123. https://doi.org/10.1016/j.amepre.2008.05.010 Ko, N., Yoon, J., & Seo, W. (2014). Analyzing interdisciplinarity of technology fusion using knowledge flows of patents. Expert Systems with Applications, 41(4), 1955–1963. https://doi.org/10.1016/j.eswa.2013.08.091 Lee, S. M., Olson, D. L., & Trimi, S. (2010). The Impact of Convergence on Organizational Innovation. Organizational Dynamics, 39(3), 218–225. https://doi.org/10.1016/j.orgdyn.2010.03.004 Lerner, J. (2002). 150 Years of Patent Protection. American Economic Review, 92(2), 221–225. https://doi.org/10.1257/000282802320189294 Li, Y., Dai, J., & Cui, L. (2020). The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. International Journal of Production Economics, 229, 107777. https://doi.org/10.1016/j.ijpe.2020.107777 Lindfield, G., & Penny, J. (2018). Numerical Methods: Using MATLAB. Academic Press. Miethlich, B., Belotserkovich, D., Abasova, S., Zatsarinnaya, Е., & Veselitsky, O. (2020). Digital economy and its influence on competitiveness of countries and regions. Revista ESPACIOS, 41(12). http://ww.revistaespacios.com/a20v41n12/20411220.html Miraz, M. H., Ali, M., Excell, P. S., & Picking, R. (2015). A review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT). 2015 Internet Technologies and Applications (ITA), 219–224. https://doi.org/10.1109/ITechA.2015.7317398 Monath, N., Jones, C., & Madhavan, S. (2021). Disambiguating Inventors, Assignees, and Locations. 23. Moser, P., & Nicholas, T. (2004). Was Electricity a General Purpose Technology? Evidence from Historical Patent Citations. American Economic Review, 94(2), 388–394. https://doi.org/10.1257/0002828041301407 Mukhomorova, I. V., Akopova, E. S., Pavlova, L. K., & Sheveleva, V. V. (2020). Global Competitiveness of the Digital Economy: The Problem of Measuring and Management. In E. G. Popkova & B. S. Sergi (Eds.), Digital Economy: Complexity and Variety vs. Rationality (pp. 23–29). Springer International Publishing. https://doi.org/10.1007/978-3-030-29586-8_3 Natick, M. (2001). Curve fitting toolbox: For use with MATLAB: user’s guide. The MathWorks, Inc. http://cda.psych.uiuc.edu/matlab_pdf/curvefit.pdf Neef, D. (2001). E-procurement: From Strategy to Implementation. FT Press. Nemet, G. F., & Johnson, E. (2012). Do important inventions benefit from knowledge originating in other technological domains? Research Policy, 41(1), 190–200. https://doi.org/10.1016/j.respol.2011.08.009 No, H. J., & Park, Y. (2010). Trajectory patterns of technology fusion: Trend analysis and taxonomical grouping in nanobiotechnology. Technological Forecasting and Social Change, 77(1), 63–75. https://doi.org/10.1016/j.techfore.2009.06.006 OECD. (2019). Digitalisation and productivity: A story of complementarities (Vol. 2019, Issue 1, pp. 55–83). OECD. https://doi.org/10.1787/5713bd7d-en Ozcan, S., & Unalan, S. (2022). Blockchain as a General-Purpose Technology: Patentometric Evidence of Science, Technologies, and Actors. Ieee Transactions on Engineering Management, 69(3), 792–809. https://doi.org/10.1109/TEM.2020.3008859 Park, H., & Yoon, J. (2014). Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: The case of Korean national R&D. Scientometrics, 98(2), 853–890. https://doi.org/10.1007/s11192-013-1109-2 Park, W. G. (2008). International patent protection: 1960–2005. Research Policy, 37(4), 761–766. https://doi.org/10.1016/j.respol.2008.01.006 Penin, J. (2005). Patents versus ex post rewards: A new look. Research Policy, 34(5), 641–656. https://doi.org/10.1016/j.respol.2005.02.005 Petralia, S. (2020). Mapping general purpose technologies with patent data. Research Policy, 49(7), 104013. https://doi.org/10.1016/j.respol.2020.104013 Priem, R. L., Wenzel, M., & Koch, J. (2018). Demand-side strategy and business models: Putting value creation for consumers center stage. Long Range Planning, 51(1), 22–31. https://doi.org/10.1016/j.lrp.2017.07.007 Qiu, R., & Cantwell, J. (2016). The international geography of general purpose technologies (GPTs) and internationalisation of corporate technological innovation. Industry and Innovation, 25, 1–24. https://doi.org/10.1080/13662716.2016.1264065 Rafols, I., Leydesdorff, L., O’Hare, A., Nightingale, P., & Stirling, A. (2012). How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management. Research Policy, 41(7), 1262–1282. https://doi.org/10.1016/j.respol.2012.03.015 Roco, M. C., & Bainbridge, W. S. (2013). The new world of discovery, invention, and innovation: Convergence of knowledge, technology, and society. Journal of Nanoparticle Research, 15(9), 1946. https://doi.org/10.1007/s11051-013-1946-1 Roepke, S., & Moehrle, M. G. (2014). Sequencing the evolution of technologies in a system-oriented way: The concept of technology-DNA. Journal of Engineering and Technology Management, 32, 110–128. https://doi.org/10.1016/j.jengtecman.2013.08.005 Roper, S., & Hewitt-Dundas, N. (2015). Knowledge stocks, knowledge flows and innovation: Evidence from matched patents and innovation panel data. Research Policy, 44(7), 1327–1340. https://doi.org/10.1016/j.respol.2015.03.003 Rosenkopf, L., & Nerkar, A. (2001). Beyond local search: Boundary-spanning, exploration, and impact in the optical disk industry. Strategic Management Journal, 22(4), 287–306. https://doi.org/10.1002/smj.160 Schummer, J. (2004). Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology. Scientometrics, 59(3), 425–465. https://doi.org/10.1023/b:scie.0000018542.71314.38 Shea, C. M., Grinde, R., & Elmslie, B. (2011). Nanotechnology as general-purpose technology: Empirical evidence and implications. Technology Analysis & Strategic Management, 23(2), 175–192. https://doi.org/10.1080/09537325.2011.543336 Skare, M., & Riberio Soriano, D. (2021). How globalization is changing digital technology adoption: An international perspective. Journal of Innovation & Knowledge. https://doi.org/10.1016/j.jik.2021.04.001 Su, H.-N., & Moaniba, I. M. (2017). Investigating the dynamics of interdisciplinary evolution in technology developments. Technological Forecasting and Social Change, 122, 12–23. https://doi.org/10.1016/j.techfore.2017.04.024 Sukekawa, M., & Nakayama, A. (1999). Application of molecular similarity analysis in 3D-QSAR of neonicotinoid insecticides. Journal of Pesticide Science, 24(1), 38–43. https://www.webofscience.com/wos/woscc/full-record/WOS:000078971400008 TAPSCOTT, D. (1995). Digital Economy, The: Promise and Peril in the Age of Networked Intelligence (NEW YORK). McGraw-Hill. //repo.unikadelasalle.ac.id%2Findex.php%3Fp%3Dshow_detail%26id%3D1598%26keywords%3D Volberda, H. W., Khanagha, S., Baden-Fuller, C., Mihalache, O. R., & Birkinshaw, J. (2021). Strategizing in a digital world: Overcoming cognitive barriers, reconfiguring routines and introducing new organizational forms. Long Range Planning, 102110. https://doi.org/10.1016/j.lrp.2021.102110 von Wartburg, I., Teichert, T., & Rost, K. (2005). Inventive progress measured by multi-stage patent citation analysis. Research Policy, 34(10), 1591–1607. https://doi.org/10.1016/j.respol.2005.08.001 World Digital Competitiveness Rankings—IMD. (2021). IMD business school. https://www.imd.org/centers/world-competitiveness-center/rankings/world-digital-competitiveness/ Youtie, J., Iacopetta, M., & Graham, S. (2008). Assessing the nature of nanotechnology: Can we uncover an emerging general purpose technology? Journal of Technology Transfer, 33(3), 315–329. https://doi.org/10.1007/s10961-007-9030-6 zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202200778 en_US
