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A Performance by New Technology Investment and Legal System Operation in Government Organization

정부조직 내 신기술 투자와 ICT 법·제도 운영에 따른 성과 연구

  • Jung, Byoungho (Dept. of Management Information Systems, Hankuk University of Foreign Studies)
  • 정병호 (한국외국어대학교 경영정보학과)
  • Received : 2019.04.04
  • Accepted : 2019.06.20
  • Published : 2019.06.28

Abstract

The purpose of this study is to empirically examine the ICT legal system and the ICT performance by new technology's investment for government organizational changes. I will show the impact of government ICT investment interest, competency, convergence and process change, and then present policy direction. A research method used the structural equations. As a result of analysis, ICT investment interest and operational competency showed the negative impact the ICT legal system and the role change of ICT process and convergence of new technologies showed the positive impact. The Framework Act on National Information showed the positive impact on organizational performance, but the E-Government Act showed the negative impact. The contribution in the study expanded organization research from MIS perspective, and each organization is required the conflict resolve by ICT investment. A future study will require longitudinal study of ICT capabilities from previous to present government.

본 연구의 목적은 신기술 투자가 ICT 법 제도와 정부조직 조직성과에 어떠한 영향력을 보이는지 실증연구를 하는 것이다. 연구에서는 정부조직의 ICT 투자 관심, 역량, 융합, 프로세스 변화의 영향력을 살펴보고, 정책 방향성을 제시하고자 한다. 본 연구 방법은 구조방정식을 사용하였다. 분석결과, ICT 투자 관심과 운영 역량은 ICT 법 제도에 부정적 영향을 보였고, ICT 프로세스 역할 변경과 신기술 융합은 ICT 법 제도에 긍정적 영향을 보였다. 그리고 국가정보화 기본법은 조직성과에 긍정적 영향을 보였지만, 전자정부법은 부정적 영향을 보였다. 본 연구의 시사점은 조직 연구를 경영정보 관점으로 넓혔으며, 정책적 관점에서 정부조직별로 ICT 공동 추진과 법 제도의 중첩에 따른 상호 갈등 부분의 해소가 요구된다. 향후 연구는 이전부터 현재 정권까지의 ICT 역량에 대한 종단 연구가 필요하겠다.

Keywords

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Fig. 1. Research Model

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Fig. 2. Research Result

Table 1. Sample Characteristics

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Table 2. Analysis of Reliability and Validity

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Table 3. Correlation coefficient and discriminant validity

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Table 4. Goodness of Fit on Structural Model

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Table 5. Path Analysis

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Table 6. Indirect Effect of Path Analysis

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References

  1. S. Klaus.(2016). The 4th industrial revolution World Economic Forum. New York: Crown Business.
  2. K. C. Laudon & J. P. Laudon. (2016). Management information system. Pearson Education India.
  3. Turban et al. (2017). Electronic commerce 2018: a managerial and social networks perspective. Springer.
  4. H. L. Yoo & S. O. Yun. (2006). The Conflict between MIC and MOGAHA on the E-Government Policy. Korean Association for Policy Sciences, 10(4), 397-420.
  5. M. H. Kim et al. (2013). A Study on the Reorganization of the Electronic Government Law System for Government 3.0 Implementation. Ministry of the Interior and Safety.
  6. S. P. Robbins, D. A. DeCenzo & M. Coulter. (2008). Fundamentals of management: essential concepts and applications. Upper Saddle River, NJ: Pearson Prentice Hall.
  7. I. S. Kim. (2016). macro organization theory, muyokmanagement Publication, 2016.
  8. P. Selznick. (1949). TVA and the grass roots: A study in the sociology of formal organization. Univ of California Press.
  9. R. J. Bennett & S. L. Robinson. (2003). The past, present, and future of workplace deviance research. Organizational behavior: the state of the science, 2nd edition. Mahwah, NJ: Lawrence Erlbaum.
  10. A. Kinicki & R. Kreitner. (2011). Organizational behavior. McGraw-Hill/Irwin.
  11. J. D. LEE & S. G. Park. (2014), The Exploratory Study on IT Investment Management of the Public Sector Based on Forecasting, Journal of Information Technology and Architecture, 11(1), 1-10.
  12. J. D. LEE & S. M. Kang. (2009), A Study on Framework for IT Investment in the Public Sector, The korean Association for Information Society, 15, 129-153.
  13. S. H. Myeong. (2008). A Study on the Efficient Information Service Budget System and Investment Direction, The Korean Association for Regional Information Society, 11(4), 57-79.
  14. K. W. Yang, J. S. Do, K. S. Jeon & J. Y. Cho. (2015). A Study On Improvement for Entry into The Hyper-connected Society through Review of E-government Implementation Status and Management System, Journal of Information Technology and Architecture, 12(1), 69-78.
  15. M. J. Lee. (2013), How to Ensure the Financial Resource Diversity of Local Information Project: A Exploratory Study from the Institutional Perspective, The Korean Association for Local Government Studies, 17(4), 387-407.
  16. B. H. Jung. (2014). The Information Quality and Process Improvement by Information Technology Investment of the SME, Asia Pacific Journal of Small Business, 36(4), 47-71.
  17. B. H. Jung. (2018), A Study on the Job Productivity by the Smart Work Investment, Management & Information Systems Review, 37(3), 83-112. https://doi.org/10.29214/damis.2018.37.3.005
  18. B. H. Jung & B. C. Kim. (2012). The Study on Differences of Performance by Mimic Investment Pattern of IT Project, Korea Society of IT Services, 11(3), 205-225. https://doi.org/10.9716/KITS.2012.11.3.205
  19. M. Hammer & J. Champy. (1993). Business process reengineering. London: Nicholas Brealey, 444(10), 730-755.
  20. K. E Pearlson, C. S. Saunders & D. F. Galletta. (2016). Managing and using information systems, binder ready version: a strategic approach. John Wiley & Sons.
  21. M. Attaran. (2004). Exploring the relationship between information technology and business process reengineering. Information & management, 41(5), 585-596. https://doi.org/10.1016/S0378-7206(03)00098-3
  22. V. Grover, S. R. Jeong, W. J. Kettinger & J. T. Teng. (1995). The implementation of business process reengineering. Journal of Management Information Systems, 12(1), 109-144. https://doi.org/10.1080/07421222.1995.11518072
  23. S. W. Choi & M. S. Yim. (2012). An Under standing the Effect of Institutional Pressur es on IT Investment Decision Making of Managers, Journal of Digital Convergence, 10(11), 175-183. https://doi.org/10.14400/JDPM.2012.10.11.175
  24. B. H. Jung. (2016). The Correspondence Competence of Information Accident by Firms Experienced in Confidential Information Leak, The Korea Society of Digital Industry & Information Management, 12(2), 73-86. https://doi.org/10.17662/ksdim.2016.12.2.073
  25. L. S. Kim, (2018). Relationship Between Information Technology and Corporate Organization, Journal of Digital Convergence, 16(11), 221-230. https://doi.org/10.14400/JDC.2018.16.11.221
  26. S. O. Yun. (2004). The Development of National Informatization Policy Evaluation Framework. Korean society and public administration, 15(1), 379-403.
  27. J. H. Lee & H. J. Choi. (2018). A Organization Reengineering of National Information Service by Paradigm Shift of Information Technology. Korea Institute of Public Administration.
  28. J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson & R. L. Tatham. (2006). Multivariate data analysis. Upper Saddle River, NJ: Prentice hall.
  29. D. Kim & S. Choi. (2018). Impact of Construction IT Technology convergence innovation on business performance. Sustainability, 10(11), 3972. https://doi.org/10.3390/su10113972
  30. Valacich, Joseph, Joey George, and Jeff Hoffer. (2014). Essentials of systems analysis and design. Prentice Hall Press.
  31. J. H. Lee, B. H. Jung & B. C. Kim. (2013). Incident Response Competence by The Security Types of Firms: Socio-Technical System Perspective. Korea Society of IT Services, 12(1), 289-308.
  32. T. G. Kang, (2003). The Relationship between IT Strategy, IT Invesetment, and IT Performance, Journal of Digital Convergence, 1(1), 165-187.
  33. L. S. Kim. (2018). An Evaluation Model of IT Investment Effect, Journal of Digital Convergence, 16(2), 27-36. https://doi.org/10.14400/JDC.2018.16.2.027
  34. S. D. Hwang. (2011). Problems of Local Informatization Found in the Two Statutes: the National Informatization Law and the Electronic Government Law, The Korean Association For Regional Information Society, 14(4), 145-160.
  35. W. W. Chin. (1998). The Partial Least Squares Approach for Structural Equation Modeling. Modern Methods of Business Research, 295(2), 295-336.