Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Necessary Factors to Establish for Public Institutions Big Data System

공공기관 빅데이터 시스템 구축 시 고려해야 할 측정항목에 관한 연구

  • Lee, Gwang-Su (College of Computer Education, Sungkyunkwan University) ;
  • Kwon, Jungin (College of Kyedang General Education, Sangmyung University)
  • 이광수 (성균관대학교 컴퓨터교육과) ;
  • 권정인 (상명대학교 계당교양교육원)
  • Received : 2021.07.30
  • Accepted : 2021.10.20
  • Published : 2021.10.28
Download PDF
⟨ Previous Next ⟩

Abstract

As the need to establish a big data system for rapid provision of big data and efficient management of resources has emerged due to rapid entry into the hyper-connected intelligence information society, public institutions are pushing to establish a big data system. Therefore, this study analyzed and combined the success factors of big data-related studies and the specific aspects of big data in public institutions based on the measurement of environmental factors for establishing an integrated information system for higher education institutions. In addition, 19 measurement items reflecting big data characteristics were derived from big data experts using brainstorming and Delphi methods, and a plan to successfully apply them to public institutions that want to build big data systems was proposed. We hope that this research results will be used as a foundation for the successful establishment of big data systems in public institutions.

초연결 지능정보사회에 빠른 진입으로 빅데이터 기반의 자원관리 등을 위한 빅데이터시스템 구축의 필요성을 대두되면서, 공공기관에서 빅데이터시스템 구축을 추진하고 있는 실정이다. 이에, 본 연구는 공공기관 현실에 맞는 빅데이터시스템 구축 시 고려해야할 측정항목을 도출하고자 한다. 고등교육기관 통합정보시스템 구축의 환경요인 측정항목에 선행연구를 기반으로 빅데이터 관련연구들의 성공요인들과 공공기관 빅데이터 시스템 구축의 특성을 분석·결합하였다. 연구방법으로는 빅데이터 전문가들을 대상으로 델파이 방법등을 사용하여 빅데이터 특성이 반영된 19개 측정항목을 도출하였으며, 이를 빅데이터시스템에 구축하고자 하는 공공기관에 성공적으로 적용하기 위한 방안을 제언하였다. 본 연구결과가 공공기관에서 성공적인 빅데이터시스템 구축의 기초 자료로 활용되기를 기대한다.

Keywords

Acknowledgement

This research was supported by the MIST(Ministry of Science, ICT), Korea, under the National Program for Excellence in SW), supervised by the IITP(Institute of Information & communications Technology Planning & Evaluation) in 2021(2019-0-01880).

References

  1. Boynton A.C and Zmud, R.W.(1984). "An Assessment of Critical Success Factors." Sloan Management Review, 26, pp. 17-24.
  2. Dobbins, J.H. and Donnelly, R.G.(1998). "Summary Research Report on Critical Success Factors in Federal Government Program Management," Acquisition Review Quarterly, pp. 61-82.
  3. Elizabeth, E., Michael, P.(2004). "Electronic Commerce Adoption : An Empirical Study of Small and Medium US Businesses", Information and Management, 42(1), pp. 197-216. DOI : 10.1016/j.im.2003.12.010
  4. Ka, H. K.(2014). "An Empirical Study on the Influencing Factors for Big Data Intented Adoption", PhD Thesis, ChungAng University. http://dx.doi.org/10.14329/apjis.2014.24.4.443
  5. Keil, M.(1995). "Pulling the Plug: Software Project Management and the Problem of Project Escalation," MIS Quarterly, 19(4), pp. 421-447. DOI : 10.2307/249627
  6. Kho, H. S.(2019). "A Study on Factor Affecting the Internet to Use Big Data in Businesses", PhD Thesis, SoongSil University. DOI : 10.22865/jita.2020.17.2.85
  7. Kim, J. B.(2017). "An Empirical Study about Success Factors of Bigdata Analysis System Implementation",Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, 7(12), pp. 849-856. http://dx.doi.org/10.14257/ajmahs.2017.12.27
  8. Lee, G. S. and Ahn, S. J.(2013). "A Study on the environmental factors and detailed measurement item to be considered in establishing integrated information system in higher education institutions", Journal of Korean Society for Internet Information, 14(3), pp. 57-65. http://dx.doi.org/10.7472/jksii.2013.14.3.57
  9. Lee, G. S. and Ahn, S. J.(2014). "A Study on the Success Model for Integrated Information System Construction in Higher Education Institutions", Journal of Korean Association of Computer Education, 17(1), pp. 83-96. DOI : 10.32431/kace.2014.17.1.008
  10. Lee, J. P. and Chang, M. H.(2018). "A Study on the Intention to Use Big Data Based on the Technology Organization Environment and Innovation Diffusion Theory in Shipping and Port Organization", Journal of Korea Port Economic Association, 34(3), pp. 159-181. DOI : 10.38121/kpea.2018.09.34.3.159
  11. Lee, S. W.(2016). "Research on Determinants for Big Data System adoption in Organizations ", PhD Thesis, Sungkyunkwan University.
  12. Nidumolu, S.(1995). "The Effect of Coordination and Uncertainty on Software Project Performance: Residual Performance Risk as an Intervening Variable." Information Systems Research, 6(3), pp. 191-219. DOI : 10.1287/isre.6.3.191
  13. Nord, D.G and Nord, J.H.(1997). "Information Systems Project Development: Knowledge and Domain Requirements for the Systems Analyst," Industrial Management & Data Systems, pp. 17-24. DOI : 10.1108/02635579710161304
  14. Park, G. H.(2016). "The Determinants for the Usage of Big Data in Administrative Service : Perspectives of the Quality Control of Data", PhD Thesis, Keimyung National University.
  15. Shin, S. H.(2019). "A Study on the Key Factors Affecting Big Data Utilization Intention of Companies in Organizational, Individual and Management Quality Perspective", PhD Thesis, Chonnam National University. https://doi.org/10.9716/KITS.2019.18.1.091
  16. Tornatzky, L. G. and Fleischer, M.(1990). The Processes of Technological Innovation. Lexington, MA : Lexington Books.
  17. DeLone, W. H. and McLean, E. R (1992). Information Systems success: The Quest for the Dependent Variable, Information Systems Research, 3(1), 60-95. DOI : 10.1287/isre.3.1.60
  18. Pitt, L. F., Watson, R. T. and Kavan, C. B (1995). Service Quality: A Measure of Information Systems Effectiveness, MIS Quarterly, 173-187. DOI : 10.2307/249687
  19. Seddon, P. B (1997). A Respecification and Extension of the DeLone and McLean Model of IS Success, Information System Research, 8(3), 240-253. DOI : 10.1287/isre.8.3.240
  20. DeLone, W. H. and McLean, E. R (2003). The DeLone and McLean model of Information Systems success: a ten-year update, Journal of Management Information Systems, 19(4), 9-30. DOI : 10.1080/07421222.2003.11045748