Integration of Causal Map and Monte Carlo Simulation to Predict the Performance of the Korea e-Procurement System

Abstract

Among e-Government systems, the Korea ON-line E-Procurement System (KONEPS) is unique in that it requires the automated completion of a wide variety of jobs across the entire procurement process: from exchanging documents, opening bids, contracting, and shopping and paying electronically to sharing information on goods, services, and participants. KONEPS is also a rare example of a successful government-administered e-procurement system that has saved a great deal of money and time in the Government-to-Business procurement process. Most e-procurement system studies focus on a rhetorical analysis of case studies and do not employ rigorous methods, making them unsuitable for assessment by potential customer countries. This study proposes a generalized approach to estimating the performance of e-procurement systems by integrating the Monte Carlo-Assisted Causal Mapping Simulation (MOCA-CAMS). Simulations in which MOCA-CAMS is applied to KONEPS indicate a very promising performance for KONEPS under uncertain conditions in customer countries. This study will provide a foundation for further discussion of this increasingly important area of e-procurement research and practice.