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마이데이터 비즈니스 생태계 모델 연구

The MyData Business Ecosystem Model

  • 투고 : 2021.08.26
  • 심사 : 2021.11.20
  • 발행 : 2021.11.28

초록

본 연구는 마이데이터 개념 태동에 따라, 기존과 상이한 양상을 보이는 마이데이터 비즈니스 생태계의 프레임워크와 해당 생태계에 참여하는 행위자의 특징을 정의하는 것을 목적으로 한다. 마이데이터는 개인이 자신의 데이터의 주권을 행사하는 것이기에, 개인이 비즈니스의 핵심 행위자로 참여한다는 특성이 존재한다. 마이데이터 소유자인 개인, 마이데이터 생성자 및 활용 서비스 제공자와 더불어 개인의 데이터 관리를 지원하는 마이데이터 오퍼레이터가 비즈니스 생태계에 참여한다. 이에, 마이데이터 산업 생태계는 기존의 디지털 비즈니스 생태계와 상이하다. 그러나, 이러한 차별적인 특성에도 불구하고, 그간 마이데이터 생태계를 세밀히 분석한 연구들은 아직 진행되지 못하고 있다. 이에, 본 연구는 국내 마이데이터 산업 활성화를 위하여 국내·외 마이데이터 비즈니스의 사례연구를 수행하여, 마이데이터 비즈니스 생태계 모델을 제안하고자 한다. 이를 위하여, 45개의 해외 마이데이터 오퍼레이터 사례의 비즈니스 모델을 분석하여 4개 그룹 7개 유형으로 분류하였으며, 마이데이터 산업 생태계에서 마이데이터 오퍼레이터 역할의 중요성을 확인하고 발전적 생태계 모델을 제안하였다.

The purpose of this study is to present a framework of the MyData business ecosystem that shows a different pattern from the previous one by the MyData concept and to define the characteristics of actors participating in the ecosystem. Because MyData is an individual exercising sovereignty over his or her data, there is a characteristic that the individual participates as a key actor in the business. In other words, MyData Operators participate in the MyData business ecosystem to help individuals who own MyData, MyData creating business and MyData using business, among them, manage their own data. Therefore, this study conducts a case study of domestic and foreign MyData businesses to revitalize the domestic MyData industry. In particular, the business model of 45 cases of overseas MyData operators was analyzed and classified into 7 types of 4 groups. And through this, the importance of the role of MyData Operator in the MyData industry ecosystem is confirmed and a developmental ecosystem model is proposed.

키워드

참고문헌

  1. M. Kuneva. (2009). Keynote Speech - Roundtable on Online Data Collection, Targeting and Profiling European Consumer Commission, Access to: https://ec.europa.eu/commission/presscorner/detail/en/SPEECH_09_156
  2. M.K. KIM. (2020) Data Divide in the Platform Data Ecosystem: Beyond Digital Inequality. Communication Theories, 16(4), 5-45 https://doi.org/10.20879/ct.2020.16.4.005
  3. WEF, Bain& Company (2011), Personal Data: The Emergence of New Asset Class
  4. M. Yi. (2020) Comparison of MyData Use Among the U.S., Europe, and the Korean Governments. Journal of the Korean Biblia Society for Library and Information Science, 31(2), 183-201 https://doi.org/10.14699/KBIBLIA.2020.31.2.183
  5. H.Y. Jung (2020.4.1) Data sovereignty issues and trends in response technologies in a data-driven society, ITFIND, 1940, 2-13
  6. Ministry of Science and Technology Information and Communication (May 17, 2019) Press Release - 8 MyData Services including Finance and Energy selected
  7. Ministry of Science and Technology Information and Communication (Jun 12, 2020) Press Release - 8 MyData Services including Finance and Energy selected
  8. Ministry of Science and Technology Information and Communication (2021.6.8.). Press Release - Selection of 8 MyData Demonstration Service
  9. Fourth Industrial Revolution Committee of KOREA. (2021). Comprehensive MyData Development Policy. SEOUL: Fourth Industrial Revolution Committee of KOREA.
  10. Fourth Industrial Revolution Committee of KOREA (2021). A plan to introduce My Health Way (MyData in the Medical Sector) to promote public health and innovate health services. Seoul: KOREA Gov.
  11. S.E. Cho, W.J. Jeong, S.J. Lee, C.B. Lee, K.S. Park. (2019). A Study on the System for the Activation of Individual-led Data Distribution, SEOUL: Korea Information Society Development Institute
  12. H.Y. Lie. (2020). MyData from the Perspective of the Nordic Model. International Telecommunications Policy Review, 27(3), 33-64 DOI:10.37793/ITPR.27.3.2
  13. D.K. Kim, C.U. Hong. (2020). A Legal Study on the Protection of MyData After the Data 3 Act Journal of Law research, 36(2), 63-91
  14. S.Y. Go, S.S. Lee, K.H. Son. (2020). A Comparative Study on the Introduction of Data Movement Rights. Institute for Law of Science & Technology, 26(2), 3-58
  15. J.H. Park. (2020). Legal Challenges in Activating MyData Services. Legal Research Institute of Ajou University, 14(1), 96-119
  16. Y.S. Shim. (2020) Current status and activation plan of MyData utilization at korea and abroad. The Journal of the Convergence on Culture Technology, 6(4), 553-558 https://doi.org/10.17703/JCCT.2020.6.4.553
  17. H. Park, J Yang. (2020). A study on the establishment of Health MyData ecosystem in the public domain. Journal of Korea Institute of Information, Electronics, and Communication Technology, 13(6), 511-522
  18. A. Poikola, K Kuikkaniemi, O Kuittinen, H Honko, A. Knuutila, V. Lahteenoja. (2020) "MyData- an introduction to human-centered use of personal data", 3rdrevised edition, MyData Global, Access to: https://mydata.org/papers/
  19. P.M. Hartmann, M. Zaki, N. Feldmann, and A. Neely. (2016). Capturing value from big data - a taxonomy of data-driven business models used by start-up firms, International Journal of Operations & Production Management, 36, 1382-1406. DOI: 10.1108/IJOPM-02-2014-0098
  20. Korea Insurance Research Institute. (2021). Current Status of My Data Policy and Business in Korea, Seoul Korea: KIRI
  21. K.R. Yang, S.K. Park, B.K. Lee. (2020). Study on MyData business model types: based on overseas new business model. The Korea Society of Management information Systems, 2020 Fall Conference, 153-162
  22. J.F. Moore. (1993). Predators and Prey : a New Ecology of Competition, Harvard Business Review, 71(3), 75-83
  23. M.F. Baghbadorani, A. Harandi. (2012). A Conceptual Model for Business Ecosystem and Implications for Future Research. International Proceedings of Economics Development and Research, 52(17), 82-86
  24. M. Tsujimoto, Y. Kajikawa, J. Tomita, and Y. Matsumoto. (2018). A review of the ecosystem concept Towards coherent ecosystem design. Technological Forecasting and Social Change, 136, 49-58 https://doi.org/10.1016/j.techfore.2017.06.032
  25. M Iansiti, R. Levien, R. (2004). The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation and Sustainability. Boston, MA: Harvard Business School Press.
  26. J.F. Moore. (1996). The Death of Competition: Leadership & Strategy in the Age of Business Ecosystems. New York: HarperBusiness.
  27. Y.M Hwang, S. W. Hong. (2019). Understanding the Artificial Intelligence Business Ecosystem for Digital Transformation: A Multi-actor Network Perspective. Information Systems Review, 21(4), 125-141 DOI:10.14329/isr.2019.21.4.125
  28. A. Hein, M. Schreieck, T. Riasanow, D.S. Setzke, M. Wiesche, M. Bohm, and H. Krcmar. (2020). Digital platform ecosystems. Electronic Markets, 30(1), 87-98 DOI:10.1007/s12525-019-00377-4
  29. J. Cho, T. Kim, K.C. Park, and B.G. Lee. (2012). An Analysis of Big Data Structure Based on the Ecological Perspective. Journal of Information Technology Services, 11(4), 277-294. DOI: 10.7763/IPEDR. 2012. V52. 17
  30. J. Langford, A. Poikola, W. Janssen, V. Lahteenoja, and M. Rikken, (2020) Understanding MyData Operators. Helsinki: MyData Global
  31. C.H Lee. (2020). MyData Business Initiates the Digital Golden Age. Seoul: KOSCOM
  32. European Commission. (2013). A European Strategy on the Data Value Chain.
  33. S. Yoo, K. Choi, S. Shin. (2014). Characterizing Business Strategy in a New Ecosystem of Big Data. Journal of Digital Convergence, 12(4), 1-9. https://doi.org/10.14400/JDC.2014.12.4.1
  34. S. Kim, S. Lee, J.G. Kimn. (2016). A Study on the Development of Phased Big Data Distribution Model Based on Big Data Distribution Ecology. Journal of Digital Convergence, 14(5), 95-106. https://doi.org/10.14400/JDC.2016.14.5.95