Analysis of the Productivity and Effects of Administration Information System: Focused on KONEPS(Korea Online E-Procurement System)

Hun-Hee Kim, Changsuk Oh

Abstract


The evaluation and analysis method of information system (IS) is studied from the system perspective, the user perspective, and the management viewpoint. The detailed analysis method performs qualitative evaluation by user questionnaire or expert opinion. In this study, Measures the productivity and the effect of building administrative information systems. In the previous study, qualitative productivity and universal effect indicators were used, but in this study, quantitative productivity indicators and indicators specific to administrative complaints were selected. KONEPS, an administrative service system, used electronic contract records and information recorded in the intermediate process. The information was converted into the number of days, and the productivity based on the input manpower was calculated. The effect analysis analyzed the questionnaire related to civil affairs, which is the goal of the administrative work system. Each factor was divided into reflective structural variable and formal structural variable, and internal consistency and multi-collinearity were diagnosed. In order to verify the model, the influence of the work was set as a hypothesis, the reliability was verified according to the descriptive statistics method, the influence was measured through the regression analysis, and the model was analyzed by the multiple regression model path coefficient. Model validation methods are Chi-square (df, p), RMR, GFI, AGFI, NFI, CFI and GFI as indicators according to CFA.


Full Text:

PDF

References


Jin, S. S., Park, H. Y., and Hang, I. S., “International comparative analysis of government workforce size,” Korea Institute of Public Administration, Research Report, 2005.

Kang, D. S. and Yo, S. H., “A Study on the Validity of Public Information System Effectiveness Measuring Indicator: Focusing on Administrative Information DB Construction Project,” Journal of Information Processing Society, Vol. 16-D, No. 3, pp. 417-422, 2009.

Kang, J. S. and Hong, E. K., “Civil Administration Service Customer Satisfaction Survey․Analysis,” Korea Institute of Public Administration, Research Report, 2004.

Kim, C. K. and Park, W. H., “Development of Methodology for Evaluation Performance Model of Information Systems,” Journal of the Korea Academia-Industrial cooperation Society, Vol. 17, No. 8 pp. 527-535, 2016.

Kim, H. H., Oh Y. C., Lee, W. C., and Yang, I. H., “KONPES Productivity and Effectiveness Empirical Study,” Information Processing Society Spring Conference, Vol. 23, No. 1 pp. 387-389, 2016.

Kim, H. H., Oh, Y. C., and Oh, C. S., “Measurement of User Satisfaction of the e-Procurement Success Model Using Correlation of Factors,” Journal of the Korea Entertainment Industry Association, Vol. 10, No. 3, pp. 309-317, 2016.

Kim, J. I. and Kim, T. I., “Analysis of the Effects of Administration Information System”, Research Report, 2010.

Lee, M. H., Ruy, H. S., Yeun, K. S., and Lim, S. K., “A Study on the Efficiency of the Government System for Advancing Public Service,” The Korea Institute of Public Administration, 2011-12.

Lee, M. H., Yun, S. J., and Jang, J. W., “Diagnosis and Management Plan of Administrative Efficiency: Focusing on Acquisition,” Korea Institute of Public Administration, Research Report, 2011.

Lee, S. H., Mun, M. K., Yang, I. S., Kim, B. T., Hong, S. A., and Lee, M. H., “Actual Conditions and Policy Tasks of Public Organizations,” Korea Labor Institute, Registration, No. 13-155, 2012.

Lee, S. R., “A Study on the Correlation between Working Time, Health and Productivity of Workers,” Korea Labor Institute, Research Report, No. 13-155, 2015.

Park, W. H., Kim, S. K., and Kim, C. K., “The Effects of Information Systems Quality on the Performance of Emotional Labors: Focused on the Airline Call Centers,” Journal of the Korea Academia-Industrial cooperation Society, Vol. 16, No. 12 pp. 8800-8811, 2015.

RICHARD, A. J., “Applied Multi-variate. Statistical Analysis,” Prentice-Hall, Books, 2007.

Shin, I. S., “Small Business Information Effectiveness: Focusing on Major Business Applications,” Information Policy, Vol. 11, No. 2, pp. 35-47, 2004.

Yun, H., Kim, D., and Lee, C., “e-Book Viewer’s Quality Factors Influencing User Satisfaction: Comparison by Content Type,” The Journal of Society for e-Business Studie, Vol. 20, No. 2, pp. 73-91, 2015.


Refbacks

  • There are currently no refbacks.