DOI QR코드

DOI QR Code

A Study on Curriculum Development for Big Data Driven Digital Marketer

빅데이터 기반 디지털 마케터 전문가 양성을 위한 교육과정 개발 관련 연구

  • Yi, Myongho (Department of Library and Information Sicence, Sangmyung University)
  • 이명호 (상명대학교 문헌정보학과)
  • Received : 2021.03.17
  • Accepted : 2021.05.20
  • Published : 2021.05.28

Abstract

Many services are provided through big data analysis in various fields such as individuals, private sectors, and governments. There is a growing interest in training data scientists to provide these services. Particularly, interest in big data-based marketing curriculum is high. This study analyzed the domestic and foreign university big data-based marketing-related curriculum to utilize vast and diverse types of information from a marketing perspective in the era of big data. As a result of the analysis of 3,523 subjects related to digital marketing, big data marketing, data analysis, and developers collected according to the analysis criteria, it was analyzed that the specialized curriculum for training data scientists required in the era of the fourth industrial revolution was not appropriate. It is expected that the proposed curriculum in this study will be useful for the development of digital marketing and big data-based marketing curriculum.

개인, 민간, 정부 등 다양한 영역에서 빅데이터 분석을 통한 많은 서비스가 제공되고 있다. 이러한 서비스를 제공하기 위한 데이터 사이언티스트 (Data Scientist) 교육에 대한 관심이 높아지고 있다. 특히 빅데이터 기반 마케팅 교육과정에 대한 관심이 높다. 본 연구는 빅데이터 시대를 맞아 방대하고 다양한 형태의 정보를 마케팅 관점에서 활용하기 위한 국내외 대학 빅데이터 기반 마케팅 관련 교육과정을 분석하였다. 분석 기준에 의해 수집된 디지털마케팅, 빅데이터 마케팅, 데이터 분석, 개발자 관련 과목 3,523개의 분석결과 빅데이터 시대에 필요한 데이터 사이언티스트 양성을 위해 특화된 교과과정이 적절하지 않은 것으로 분석 되었다. 본 연구에서 제안한 교육과정이 디지털 마케팅 및 빅데이터 기반 마케팅 교과과정 개발에 유용하게 참고 될 것으로 기대한다.

Keywords

References

  1. J.W. Kim & K.M Lee. (2000). Application of Market Basket Analysis to Personalized Advertisements on Internet Storefront. Korean Management Science Review 17(3),19-30.
  2. Y.J. Joo (2002). A Trade Strategy in Stock Market using Market Basket Analysis. Journal of Information Technology Applications & Management. 9(4), 65-78.
  3. J.Y. Kwon, Y.S. Oh & K.K Choi. (2020) Big Data Analysis on Out-of-School Youth Arts and Culture Education. Korean Journal of Sports Science 29(5), 857-870. https://doi.org/10.35159/kjss.2020.10.29.5.857
  4. K.S. Sung. (2020). Social media big data analysis of Z-generation fashion. Journal of the Korea Fashion & Costume Design Association 22(3), 49-61. DOI:10.30751/kfcda.2020.22.3.49
  5. Y.H. Jang & J.H. Lee. (2020). Big data analysis of the media coverage on the publicness of early childhood education. The Journal of Korea Open Association for Early Childhood Education 25(5), 321-353. DOI: 10.20437/KOAECE25-5-12
  6. Editorial Department (2020). Excellence Marketing for Customer. Marketing 54(10), 16-27.
  7. Y.H. Chun, S.J. Lee & S.H. Park (2019). For airline preferences of consumers Big Data Convergence Based Marketing Strategy. Journal of Industrial Convergence. 17(3), 17-22. https://doi.org/10.22678/JIC.2019.17.3.017
  8. A. Osterwalder & Y. Pigneur. (2010). Business Model Generation: A Handbook for Visionaries, Game hangers, and Challengers. New Jersey: John Wiley & Sons.
  9. K.S. Noh. (2015). Educational Policy Proposals through Analysis of the Perception of Bigdata for University Students. Journal of Digital Convergence, 13(11), 25-33. DOI: 10.14400/JDC.2015.13.11.25
  10. J.S. Kim, J.H. Ahn & M.S. Kim. (2018). Developing Competency Based Integrated Curriculum for Fostering Sports Marketer in Sports Industry. Journal of Digital Convergence, 16(6), 449-462. DOI: 10.14400/JDC.2018.16.6.449
  11. J.Y. Kim, H.Y. Choi, & S.I. Kim. (2018). A Study on Development of Convergence Design Education for an ability of Empathy Enhancement during the 4th Industrial Revolution era - Focusing on Domestic and Foreign University Cases -. Journal of Digital Convergence, 16(3), 451-456. DOI: 10.14410/JDC.2018.16.3.451
  12. K.T. Kim. (2019). Domestic Research Trends and Cases of University Education and Operation in the Era of the Fourth Industrial Revolution. Journal of Digital Convergence, 17(8), 15-26. DOI: 10.14400/JDC.2019.17.8.015
  13. S.C. Lee. (2019). Development of Big Data Curriculum in University. The Korea Contents Association Review 17(2), 29-33.
  14. S.H. Oh, S.J. Kim & J.W Lee. (2020). A Content Analysis of Makerspace Course Syllabi of Library and Information Science Programs in the United States. Journal of Social Science 31(1), 263-278. https://doi.org/10.16881/jss.2020.01.31.1.263
  15. Y.H. Noh. (2015). A Study on the Characteristic Changing of the Library and Information Science Curriculum. Journal of Korean Library and Information Science Society 46(4), 79-107 https://doi.org/10.16981/kliss.46.201512.79
  16. H.J. Kim. (2015) A study on the Library & Information Science Curriculum Model Development for the Disabled Users Service Special Librarian. Journal of Korean Library and Information Science Society 46(3), 325-348. DOI: 10.16981/kliss.46.201509.325
  17. J.H. Jung & C.M. Lee (2019) An Analysis of Industrial Security Curriculums in Colleges. The Jounal of Society for e-Business Studies 24(2), 29-53. DOI: 10.7838/jsebs.2019.24.2.029
  18. D. Conway. (2013). The Data Science Venn Diagram. http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
  19. R. Swanstrom. (2021). Data Science Colleges and Universities. https://ryanswanstrom.com/colleges/
  20. S.H. Choi & Y.J. Ha (2019). An Analysis on Curriculum of Library and Information Science in U.S. Journal of Korea Society for Information Management. 36(1), 53-71. DOI: 10.16981/kliss.46.201509.325