운영 DB데이터 분석을 통한 G4C 전자정부 정보화 사업 투자 시차효과 분석

An Analysis of the Time-Lag Effects on the Investment of G4C E-Government System by analysing DB Data

초록

Considering time-lag in the performance evaluation of information system (IS) investment is important because its effect reveals after certain period of time passed. Particularly it is more in the systems of e-government informatization projects which the amount of investment and the scale of business are huge. Many methods to solve this issue have been proposed such as system dynamics methods, simulations, structural equations etc. However, it is still difficult and unsolved problem because collecting practical data for time-lag analysis is very hard. In this paper, we analyze IS time-lag effect through factor analysis using the accumulated practical operational DB data. For the performance evaluation of the G4C system, the representative e-government web portal, we selected eleven factors reflecting time passing in G4C DB data. With these factors this paper conduct time-lag analysis in four view points. First, we conducted ‘Stabilizing of G4C system’ and got a result that IS is needed about three years for the stabilization. Second, we conducted 'Utilization of G4C system' and got a result that the utilization reaches appropriate level after in three years later after the introduction of G4C system. Third, we conducted 'Cost reduction effect' and got a result that cost reduction is stable in the third year after the introduction of G4C system. Lastly, we conducted 'System maturity effect' and got a result that the system reaches to the quality level that users expect after third to fourth years. According to the results of this research, we found that performance of IS improv continuously not immediately, and it needs three or four years of time-lag.

키워드

Informatization Performance analysisTime-Lag effectIT investmentG4C system
제목
운영 DB데이터 분석을 통한 G4C 전자정부 정보화 사업 투자 시차효과 분석
제목 (타언어)
An Analysis of the Time-Lag Effects on the Investment of G4C E-Government System by analysing DB Data
저자
조남재임규건이대철
발행일
2009-12
저널명
Journal of Information Technology Applications & Management
16
4
페이지
205 ~ 222