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Delivery Platform to Solve Malnutrition in America

In: Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

Author

Listed:
  • Mingyi Yuan

    (New York University, Liberal Studies)

  • Shenneng Gu

    (Soochow Foreign Language School)

  • Zhihao Xu

    (Queen’s University, Economics)

Abstract

Every country in the world is negatively affected by one or more forms of malnutrition. Combating malnutrition has become one of the greatest global health challenges. Women, infants, children, and adolescents are at particular risk of malnutrition. Much previous literature on this topic have been read and a survey of malnutrition in the United States via Internet news is conducted. According to our research, there are three main malnutrition problems. The first problem is lack of awareness. Many Americans do not realize how serious the problem of malnutrition is, so they resort to unhealthy foods. The second problem is lack of access. Many Americans live in food deserts and therefore do not have access to these healthy foods. The third problem is the affordability of nutritious food. Because fresh foods are so expensive in the United States, many Americans are forced to choose less nutritious foods. With the rapid development and wide application of new digital technologies such as big Data and artificial Intelligence, Platform economy is emerging as the new more viable and efficient to approach malnutrition to reduce the above-mentioned problems. Building and operating a third-party service platform that connects customers with sellers closely, this work aims to solve the malnutrition in America by using different delivery methods, purchasing methods and advertisement campaigns.

Suggested Citation

  • Mingyi Yuan & Shenneng Gu & Zhihao Xu, 2023. "Delivery Platform to Solve Malnutrition in America," Advances in Economics, Business and Management Research, in: Seifedine Kadry & Yingchen Yan & Junjie Xia (ed.), Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), pages 570-583, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-124-1_67
    DOI: 10.2991/978-94-6463-124-1_67
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