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Analysis of Research Trends in Technology Innovation: Focus on SCOPUS DB

기술혁신의 연구 동향 분석: SCOPUS DB를 중심으로

  • Park, Eun-Mi (School of Business Administration, Kyungpook National University) ;
  • Seo, Joung-Hae (School of Business Administration, Kyungpook National University)
  • Received : 2020.07.14
  • Accepted : 2020.08.20
  • Published : 2020.08.28

Abstract

With the start of the digital transformation era, many changes have been made to the corporate environment. Companies are now in a competitive environment that is different from the past. There are so many technological innovations that cannot be imagined centering around the technology related to digital transformation. Unlike the past, research on technological innovation is also proceeding much. Therefore, in this research, we searched for papers on the theme of technological innovation from 2015 to 2019, focusing on the SCOPUS database. We collected 1043 papers that provide green among the papers and analyzed them using text mining technology and LDA method. As a result of the analysis, it was clarified that research on technological innovation is continuously increasing, and it was found that research for technological innovation in various fields is being conducted. In addition to the theme of technological innovation, various keywords related to technological innovation were also derived.

디지털 트랜스포메이션 시대가 시작됨에 따라 기업의 환경도 많은 변화가 일어나고 있다. 기업들은 이제는 과거와는 다른 경쟁 환경하에 놓이게 되었다. 디지털 트랜스포메이션의 관련 기술들을 중심으로 상상할 수 없을 정도의 많은 기술적인 혁신들이 일어나고 있다. 기술혁신에 대한 연구도 과거와는 다르게 많이 진행이 되고 있다. 이에 본 연구에서는 SCOPUS 데이터베이스를 중심으로 2015년부터 2019년까지 기술혁신이라는 주제로 한 논문을 검색하였다. 논문중에서 초록을 제공하고 있는 논문 1,043편을 수집하고, 이를 텍스트 마이닝 기법과 LDA 기법을 활용하여 분석을 수행하였다. 분석결과, 기술혁신에 대한 연구가 지속적으로 증가를 하고 있는 것으로 나타났으며, 다양한 분야에서 기술혁신에 대한 연구가 이루어지고 있는 것으로 나타났다. 또한 기술혁신의 주제 외에도 기술혁신과 관련된 다양한 키워드들도 도출이 되었다.

Keywords

References

  1. S.T. Park & Y. K. Kim. (2020). Artificial Intelligence Research Trend Using SCOPUS DB: 2011-2019. International Journal of Advanced Science and Technology, 29(4s), 304-312. http://sersc.org/journals/index.php/IJAST/article/view/6308
  2. S. T. Park, J. R. Jung, & C. Liu. (2019). A study on policy measure for knowledge-based management in ICT companies: focused on appropriability mechanisms. Information Technology and Management, 1-13.
  3. Y. K. Kim & S. T. Park. (2018). Impacts of innovation motives and activities on innovation Performance. Indian Journal of Public Health Research & Development, 9(8), 585-591. https://doi.org/10.5958/0976-5506.2018.00796.9
  4. S. M. Choi, Y. K. Kim, S. T. Park & T. U. Kim, (2018). Effect of Technological Innovation Competencies on Patent Activities and Product Performance, Journal of Advanced Research in Dynamical and Control Systems, 10(1), 235-241
  5. S. T. Park, S. J. Lee & Y. K. Kim. (2015). Appropriability of innovation results: case of the Korean industry. Indian J. Sci. Technol, 8(21), 1-9.
  6. F. P. Boer. (1999). The Valuation of Technology. New York: John Wiley & Sons, Inc.
  7. G. Zaltman, R. Duncan & J. Holbek. (1973). Innovations and organizations. John Wiley & Sons.
  8. J. Schumpeter. (1934). Capitalism, socialism, and democracy. New York.
  9. E. M. Rogers. (1995). Diffusion of Innovations. 4rd ed., New York.
  10. E. M. Park. (2018). Effect of Technology Innovation Competency and Patent Competency on the Business Performance. Master's thesis. Kyungpook National University, Daegu.
  11. The Korea Society of Digital Policy and Management. (2019). NCS management big data analysis, Wowpass.
  12. S. T. Park & Y. K. Kim. (2019). A Study on Deriving an Optimal Route for Foreign Tourists through the Analysis of Big Data. Journal of Convergence for Information Technology, 9(10), 56-63. https://doi.org/10.22156/cs4smb.2019.9.10.056
  13. J. H. Lee, I. S. Lee, J. K. Soo, B. H. hae & J. Y. Lee. (2017). Patents and Papers Trends of Solar-Photovoltaic(PV) Technology using LDA Algorithm. Journal of Digital Convergence, 15(9), 231-239. https://doi.org/10.14400/JDC.2017.15.9.231
  14. https://ko.wikipedia.org/wiki/LDA
  15. S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer & R. Harshman. (1990). Indexing by latent semantic analysis. Journal of the American society for information science, 41(6), 391-407. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
  16. S. T. Park, S. W. Lee & M. H. Ko. (2018). Industry 4.0 on Keyword Network Analysis. Journal of Engineering and Applied Sciences, 13(s1), 2442-2446
  17. M. H. Ko, E. M. Park & S. T. Park. (2018). Mining the Open Science: Themes and Trends 10 Years of Open Science. Journal of Advanced Research in Dynamical and Control Systems(SCOPUS), 10(1).
  18. G. Li, J. S. Dai, E. M. Park & S. T. Park. (2017). A study on the service and trend of Fintech security based on text-mining: Focused on the data of Korean online news. Journal of Computer Virology and Hacking Techniques, 13(4), 249-255. https://doi.org/10.1007/s11416-016-0288-9