Author: Ip, Yee-cheung
Title: Expert system prototype for export credit approval under the Hong Kong Export Credit Insurance Corporation
Degree: M.Sc.
Year: 1997
Subject: Export credit -- China -- Hong Kong
Expert systems (Computer science)
Hong Kong Export Credit Insurance Corporation
Hong Kong Polytechnic University -- Dissertations
Department: Department of Computing
Pages: 7, 73, [90] leaves : ill. ; 30 cm
Language: English
Abstract: The present study is to construct an expert system prototype for export credit approval under the Hong Kong Export Credit Insurance Corporation (ECIC). The major objective of ECIC is to promote export business for Hong Kong manufacturers and exporters. It encourages them to flex their muscles overseas and fly high with ECIC. To achieve this objective, ECIC offers a wide range of insurance policies covering exports on credit payments up to 180 days. In export credit, there are two major risks: the country risks and the buyer risks. The most important of the risks are the buyer risks as over 95% of claims are resulting from insolvency of buyers or default payment by buyers. When an exporter becomes the policyholder of ECIC and intends to trade business with overseas buyers, ECIC will conduct risks assessment on the buyer in relation to his credit limit which is used to calculate indemnity for the exporter in case the buyer, for whatever reasons, is unable to pay for the goods delivered by the exporter as agreed. An expert system comprising rules will be developed to check whether the buyer is creditworthiness to extend credit sales. The system, after examining the management character, the financial strength, the collateral and the capacity of the buyer, will determine whether the credit limit application of the buyer is accepted or rejected. Or whether the credit limit should be reduced or attached with other conditions if the credit limit applications are to be accepted. These conditions may include change the payment terms into a less risky one, charge the policyholder with a higher premium rate, or shorten the credit period. The prototype is developed with KAPPA and adopts a forward chaining strategy to arrive at one of the five recommendations. The system is suitable for future enhancement with integration of case-based reasoning.
Rights: All rights reserved
Access: restricted access

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