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.
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Lee, K.C., Chung, N. (2011). Integration of Causal Map and Monte Carlo Simulation to Predict the Performance of the Korea e-Procurement System. In: Nguyen, N.T., Trawiński, B., Jung, J.J. (eds) New Challenges for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19953-0_30
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DOI: https://doi.org/10.1007/978-3-642-19953-0_30
Publisher Name: Springer, Berlin, Heidelberg
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