近年來工業4.0相關技術快速地發展，了解其新興的學術趨勢無論對學術界或業界都至關重要，而精準把握趨勢動向有助於引領工業4.0未來的發展。本研究結合文獻計量分析和技術偵查兩種技術方法，深入探討工業4.0的目前動態和發展方向。透過文獻計量，我們對工業4.0相關文獻進行分析，辨識出與工業4.0一同被廣泛比較和研究的關鍵詞。同時，借用技術偵查這種原本在業界用於搜尋對公司發展有益技術地方法，我們開發了一個技術偵查網頁，該網頁整合了不同來源的相關資料，包括碩博士論文、政府補助研究計畫、學者等，透過雷達圖、關鍵詞共現網路和關鍵詞流水圖提供趨勢的視覺化呈現；此外，該網頁不僅能搜尋工業4.0相關資訊，還能呈現其他工程領域的關鍵詞或議題。本研究不僅呈現學者、機構及關鍵詞等相關資訊，更突破了現有網站對技術趨勢分散呈現及資料來源的限制。總體而言，文獻計量和技術偵查結合為我們提供了全面了解工業4.0資訊及趨勢的方法，本研究也推進了我們對工業4.0在學術研究上的理解。

In recent years, technologies related to Industry 4.0 have rapidly advanced. Understanding the emerging academic trends in this field is crucial for both academia and industry. Accurately grasping these trends can contribute to guiding the future development of Industry 4.0. This work employs a dual methodology, combining bibliometrics and technology scouting, to thoroughly explore the current dynamics and developmental directions of Industry 4.0. Through bibliometrics, we organize and analyze literature related to Industry 4.0, identifying keywords commonly compared and researched in association with this paradigm. Simultaneously, utilizing technology scouting—a method originally employed in industry to identify beneficial technologies—we develop a technology scouting web-based system. This system integrates relevant data from diverse sources, including theses, government-funded research projects, and scholars. It provides a visual representation of trends through radar charts, keywords co-occurrence networks, and stacked areas. Additionally, this system not only facilitates searches for Industry 4.0-related information but also presents keywords or issues in other engineering fields. This work goes beyond presenting information on scholars, institutions, and keywords. It also overcomes limitations of existing websites, which often scatter technological trends and restrict data sources. Overall, the combination of bibliometrics and technology scouting offers a comprehensive approach to understanding information and trends in Industry 4.0. This research significantly advances our understanding of Industry 4.0 in academic research.

[1] N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, and W. M. Lim., “How to Conduct a Bibliometric Analysis: An Overview and Guidelines,” Journal of Business Research, 133, pages 285–296, September 2021.
[2] Y. Pan, “Heading Toward Artificial Intelligence 2.0,” Engineering, 2(4), pages 409–413, December 2016.
[3] K.-D. Thoben, S. Wiesner, and T. Wuest, ““Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples,” Int. J. Automation Technol., 11(1), pp. 4-19, January 2017.
[4] M. J. Cobo, A. G. López-Herrera, E. Herrera-Viedma, and F. Herrera., “SciMAT: A new Science Mapping Analysis Software Tool,” Journal of the American Society for Information Science and Technology, 63 (8), pp. 1609–1630, July 2012.
[5] S. A. Morris, and Betsy Van Der Veer Martens., “Mapping Research Specialties,” Annual Review of Information Science and Technology, 42 (1), pp. 213–295, November 2009.
[6] M. J. Cobo, F. Chiclana, A. Collop, J. de Ona, and E. Herrera-Viedma, “A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping” IEEE Transactions on Intelligent Transportation Systems, 15 (2), pp. 901–908, April 2014.
[7] L. M. Kipper, L. B. Furstenau, D. Hoppe, R. Frozza, and S. Iepsen, “Scopus Scientific Mapping Production in Industry 4.0 A Bibliometric Analysis,” International Journal of Production Research, 58 (6), pp. 1605-1627, October 2019.
[8] A. Khan, J. W. Goodell, M. K. Hassan, and A. Paltrinieri, “A Bibliometric Review of Finance Bibliometric Papers,” Finance Research Letters, 47(Part A), June 2022.
[9] F. P. Appio, F. Cesaroni, and A. Di Minin, “Visualizing the Structure and Bridges of the Intellectual Property Management and Strategy Literature: A document Co- Citation Analysis,” Scientometrics, 101(1), pp. 623–661, May 2014.
[10] F. J. Acedo, C. Barroso, C. Casanueva, and J. L. Galan, “Co-authorship in Management and Organizational Studies: An Empirical and Network Analysis,” Journal of Management Studies, 43(5), pp. 957–983, June 2006.
[11] L. Cisneros, M. Ibanescu, C. Keen, O. Lobato-Calleros, and J. Niebla-Zatarain, “Bibliometric Study of Family Business Succession Between 1939 and 2017: Mapping and Analyzing Authors’ Networks,” Scientometrics, 117(2), pp. 919–951, August 2018.
[12] J. A. Moral-Munoz, A. G. López-Herrera, E. Herrera-Viedma, and M. J. Cobo, “Science Mapping Analysis Software Tools: A Review,” Springer Handbook of Science and Technology Indicators, pages.159–185, 2019.
[13] Nees Jan van Eck, and L. Waltman, “VOSviewer Manual,” January 2022.
[14] Nees Jan van Eck, and L. Waltman , “CitNetExplorer: A New Software Tool for Analyzing and Visualizing Citation Networks,” Journal of Informetrics. 8(4), pages 802–823, October 2014.
[15] R. Rene, “Technology Scouting – A Case Study on the Deutsche Telekom Laboratories,” ISPIM-Asia 2007 conference, January 2007.
[16] C. Kerr, L. Mortara, R. Phaal, and D. Probert, “conceptual model for technology intelligence,” International Journal of Technology Intelligence and Planning, 2(1), pages 73-93, 2006.
[17] R. Rene, “Harnessing a Network of Experts for Competitive Advantage: Technology Scouting in the ICT Industry,” R & D Management, 40(2), pages 169-180, March 2010.
[18] R. Rene, “Technology Scouting–Harnessing A Network of Experts for Competitive Advantage,” In 4th Seminar on project and innovation, pages 1-15, August 2006.
[19] M. Peter, S. Gatziu Grivas, D. Horn, F. Rüegg, R. Barba, and M. Graf, “The Technology Matrix—A Tool-Based Method for Technology Scouting,” In 12th IADIS International Conference on Information Systems, 2019.
[20] F. Blumenthal, T. Buder, L. Löbling, T. Sickenberger, R. Tagiew, R. Tilly, and P. Yao-Lakaschus, “Ein Technologie-Scouting-System für Recherche und Vernetzung im Schienenverkehrssektor,” Railway Technical Review, February 2023.
[21] Introduction of Radar Charts: https://medium.com/@itonicsinnovation/technology-radar-your-go-to-platform-for-technology-management-a7ae822e394f
[22] M. Bahle, and D. Mietzner, “Tech Radar - Open and Collaborative Tool for Discussing Technology Trends,” 2020 University-Industry Interaction, January 2021.
[23] Introduction of Technology Readiness Levels: https://www.nasa.gov/directorates/somd/space-communications-navigation-program/technology-readiness-levels/
[24] 行政院科技會報辦公室（2015）。行政院生產力4.0發展方案。Taiwan Economic Forum，13(3)。