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- W2598255718 abstract "Three main functions of customs agencies are security and facilitation of international trade, fair and efficient collection of revenue and protection of public health and safety. These functions are becoming more difficult due to rapid changes in the operational environment. In this increasingly difficult environment the World Customs Organization advocates less intrusive customs inspections under the revised Kyoto Convention. However, customs administrations in developing countries, like Jamaica, have to contend with the simultaneous conflicting tensions between growing trade flows, service quality demands of private operators, and increased revenue demand pressures of governments. This paper discusses the potential of Big Data Analytics and Data Mining techniques, adapted from other sectors, to explore the research question: Can Big Data Analytics improve efficiency and effectiveness of Customs Operations in developing countries by increasing the precision of targeted physical inspections? This is explored through the use of a case study, Jamaica." @default.
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- W2598255718 date "2017-01-01" @default.
- W2598255718 modified "2023-09-23" @default.
- W2598255718 title "Big Data Analytics and Customs Throughput: The Case of Jamaica" @default.
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- W2598255718 doi "https://doi.org/10.1007/978-3-319-56538-5_52" @default.
- W2598255718 hasPublicationYear "2017" @default.
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