Abstract
The use of Decision Support Systems (DSS) has become a successful approach over the past years as it relies on the use of knowledge rather than information. Moreover, the tremendous increase in communication and information technology applications is encouraging decision-makers to incorporate the extensive analysis of previous transactions and historical experiences, along with the computer applications, to take the critical decisions related to procurement. However, there are several challenges that face the procurement decision-making process in any organization, especially, the governmental entities, such as how to choose the best suppliers to deal with. In this sense, this paper aims to present the impact of using DSS to help facilitate a better e-procurement cycle, which will involve better decision-making in the selection of the most convenient suppliers based on the previous historical record on the nominated suppliers. To achieve this aim, a DSS tool that uses decision trees named Expert System Builder (ES-builder) has been used. This paper will be specific to a case study on the new Public-Private Partnership (PPP) law number (#) 67 in Egypt, which is a law concerned with the cycle that any governmental entity engaging in projects with the private sector.
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Soliman, K., El-Barkouky, N. (2020). An E-government Procurement Decision Support System Model for Public Private Partnership Projects in Egypt. In: Moreno-Jiménez, J., Linden, I., Dargam, F., Jayawickrama, U. (eds) Decision Support Systems X: Cognitive Decision Support Systems and Technologies. ICDSST 2020. Lecture Notes in Business Information Processing, vol 384. Springer, Cham. https://doi.org/10.1007/978-3-030-46224-6_9
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