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This study investigated cross-domain applications used to bridge information technology and the Public Procurement Act. Through indirect reference to the literature and logical reasoning, it was found that the relationship between the two entities is complementary and requires further research.
This study employed a decision tree model to parse the long, complicated provi-sions within the Public Procurement Act, focusing on cross-domain applications. We established a logical framework of classification and quantification that would enable government organizations to select the correct method when calling for bids in pro-curement cases.
It was found that although this approach is applicable under normal work condi-tions, a number of special cases still require manual correction. We discovered that the selection of bids is determined by the individuals in charge as well as factors under con-sideration, such as time of delivery, price, the expectations of superiors, and the adapta-bility of suppliers. Each of these factors varies from case to case, resulting in differences in the derived frameworks.
Disturbance variables such as the work attitudes of personnel, assigned tasks, and dedication of suppliers also have a strong influence on the selection of bids.
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