DOI QR코드

DOI QR Code

지능형 정부 행정서비스 지속사용의도에 영향을 미치는 요인에 대한 연구

A Study on the Factors Affecting the Intention of Continuous Use of Intelligent Government Administrative Services

  • 투고 : 2021.10.22
  • 심사 : 2021.11.20
  • 발행 : 2021.11.28

초록

정부는 새로운 영역의 전자정부 서비스를 창출하기 위한 계획을 추진 중이다. 업무절차 개선 측면에서 dBrain과 e-사람, 전자결재 및 업무관리를 위한 온나라 등은 상당한 성과를 이루었으며, 현재는 새로이 부각된 정보기술을 도입하여 기존의 행정서비스를 개선하고 지능형 전자정부를 구현하기 위한 노력을 지속하고 있다. 본고에서는 그중 자가학습기반의 지능형 행정서비스 구축이 실제 업무를 추진하는 공무원들의 업무프로세스에 효율적인지, 지속사용하는데 영향을 미치는지를 파악하고자 하였다. 인공지능, 빅데이터, 블록체인 등의 발전된 정보기술에 대한 개인의 인식 및 태도를 바탕으로 개인 혁신성을 선행변수로 하여 UTAUT 변수들이 지속사용의도에 영향을 미치는 지에 대해 공무원 대상 설문 결과를 이용하여 지능형 정부서비스를 대상으로 검증하여 행정서비스에 대한 영향요소를 파악하였다. 정부행정서비스 사용자들은 혁신적인 행정서비스의 구축 및 도입이 국민에게 더욱 효율적으로 활용될 수 있다고 믿으며, 정보기술 발전에 따라 서비스의 활용 및 제공에 대한 기대감을 높게 가지고 있다고 파악되었다. 향후 전자정부 서비스를 활용하는 국민을 대상으로도 모형을 적용하여 연구할 예정이다.

The government is pursuing plans to create new e-government services. In terms of improving business procedures, dBrain (finance), e-people (personnel), and Onnara (electronic payment and business management) have achieved considerable results, and are currently making efforts to improve existing administrative services using newly emerged ICT. Among them, this paper attempted to study whether self-learning-based intelligent administrative services are efficient in the work process of public officials promoting actual work and affect their continued use. Based on individual perceptions and attitudes toward advanced ICTs such as AI, big data, and blockchain, public officials' influences on administrative services were identified and verified using UTAUT variables. They believe that the establishment and introduction of innovative administrative services can be used more efficiently, and they have high expectations for the use and provision of services as ICT develops. In the future, a model will be also applied to citizens

키워드

과제정보

This paper was supported by Chungnam National University Research Grant in 2021.

참고문헌

  1. K. S. Yoon. (2018). Public Service Innovation through the Use of Information Technology in the Fourth Industrial Revolution. KIPA.
  2. J. H. Yeom & S. K. Kim. (2016). A Study on the Factors Affecting the Acceptance of Government WEB 3.0 Services: Focus on the Public Service Employees, JOURNAL OF KOREAN ASSOCIATION FOR REGIONAL INFORMATION SOCIETY, 19(1), 139-163. https://doi.org/10.22896/KARIS.2016.19.1.006
  3. J. Oh. (2010). Factors of Internet Service Acceptance: A Revaluation of UTAUT Model, Korean Management Review, 39(1), 55-79.
  4. Byeon & Hyeonsu. (2012). The Influence of Users' Personal Innovativeness, Trust, and Felt Trust on Intention to Use E-government, The Korea Association for Policy Studies, 21(1).
  5. S. J. Han. (2017). (A) Study on Effects of Multi-cultural Acceptability on Awareness of Unification using Structural Equation Model. Journal of Digital Convergence 15(10), 1-7. https://doi.org/10.14400/JDC.2017.15.10.1
  6. S. J. Han & S. H. Lee. (2019). The Effects of Familiarity with Unmanned Technology on Expectation of Devel opment in Ground Forces through Structural Equation Mode, 19(5), 91-98.
  7. Ministry of Public Administration and Security, Intelligent Government Master Plan, 2018.
  8. S. Y. Kim. (2006). The Study on intention to acceptance of electronic administration service in E-Government, The Korean Journal of Public Administration, 15(1), 169-202.
  9. Ministry of Public Administration and Security, Intelligent Government Basic Plan, 2017.
  10. Ministry of Public Administration and Security, Digital New Deal, Mobile, 5G, Cloud-based Intelligent Government, Press release, 2020.7.15.
  11. A Study on the Factors Affecting the Intention to Use the Defense Education and Training System Based on Virtual Reality. Journal of Knowledge Information Technology and Systems (JKITS), 15(6), 1117-1133. https://doi.org/10.34163/JKITS.2020.15.6.019
  12. S. H. Lee. (2020). Study on the Factors Affecting the Priority Selection for Introducing the System and the Intention to Use the Virtual Reality-based Defense Education Training System, Chungnam National University Ph.D. Thesis.
  13. Slade, E. L. (2015). Modeling consumers' adoption intentions of remote mobile payments in the United Kingdom : extending UTAUT with innovativeness, risk, and trust, Psychology and Marketing, 32(8), 860-873 https://doi.org/10.1002/mar.20823
  14. McMaster, T. (2005). Diffusion or delusion? Challenging an IS research tradition, Information Technology & People 18, 383~404. https://doi.org/10.1108/09593840510633851
  15. Venkatesh, V. (2003). Use acceptance of information technology : Toward a unified view, MIS Quarterly 27(3), 425-478 https://doi.org/10.2307/30036540
  16. Leavitt, C. & Walton, J. (1975). Development of a Scale for Innovativeness, Advances in Consumer Research, 2, 545-554.
  17. M. B. Lee. (2012). Influence of the Innovativeness on the Use Intention in SNS: Focused on UTAUT, Journal of the Korea Industrial Information Systems Research, 17(7), 177-186. https://doi.org/10.9723/JKSIIS.2012.17.7.177
  18. S. H. Jeon. N. R. Park, & C. C. Lee. (2011). Study on the Factors Affecting the Intention to Adopt Public Cloud Computing Service, Entrue Journal of Information Technology, 10(2)..
  19. I. Im. S, Hong, & M. S, Kang. (2011). An international comparison of technology adoption Testing the UTAUT model, Information and Management, 48.
  20. The Fourth Industrial Revolution Factors Affecting the Vitalization of Smart Information Technology in Urban Regeneration. (2020), Korea Real Estate Board, 6(1), 81-100.
  21. Y. J. Joo. Y, G, Ham & B. Y. Jeong. (2014). Analysis of Factors Influencing Continuous Usage Intention of Mobile Learning in Cyber University, The Journal of the Korea Contents Association, 14(6), 477-490. https://doi.org/10.5392/JKCA.2014.14.06.477
  22. S. H. Yang, Y. S. Hwang & Jaekei Park. (2016). A Study on the Use of Fintech Payment Services Based on the UTAUT Model, Journal of Management & Economics, 38(1), 183-209.