Journal of information and communication convergence engineering

  • 제17권4호
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  • Pages.267-273
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  • 2019
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  • 2234-8255(pISSN)
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  • 2234-8883(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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Improvement of the Parallel Importation Logistics Process Using Big Data

  • Park, Doo-Jin (Department of Port Logistics System, Tongmyong University) ;
  • Kim, Woo-Sun (Division of Port & Logistics Research, Korea Maritime Institute)
  • 투고 : 2019.11.20
  • 심사 : 2019.12.26
  • 발행 : 2019.12.31
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초록

South Korea has allowed parallel importation since 1995. Parallel importation causes competition among importers in the logistics process allowing, consumers to purchase foreign brand products at low prices. Most parallel importers base product pricing on subjective judgements. Fashion products in particular, have different sales rates depending on trends and seasons, so sales performance varies greatly depending on selling price timing and policy. The merchandiser (MD) set the price on parallel importation products by aggregating information on imported products and pricing goods. However, this customized process is very time consuming for the MD. This is because the logistics process of parallel importation's customs clearance procedures and repair works is complicated and takes a significant amount of time. In this paper, we propose an improved parallel importation logistics process based on big data, which automatically sets the price of parallel importation products.

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참고문헌

  1. Korea Custom Service, "The guideline for parallel import by item," Trade related IRP Protection Association, December, vol. 4, 2017.
  2. M. W. LEE, "A Study on the Improvement of parallel imports," Korea Economic Research Association, 2008.
  3. S. W. Wee "Study on the plans for activating parallel importation," Department of Trade Graduate School of Donkuk University, 2015.
  4. K.Y. Han, "Consumer Awareness of and Attitudes toward the Parallel Import Fashion Products as Determined by Consumer Characteristics," Master of Clothing and Textiles Graduate School of Kyung Hee University, 2015.
  5. Korea Customs Service, http://www.customs.go.kr.
  6. D. J. Park and W.S. Kim, "A Study on the Pricing of Parallel Importation Products Using Big Data," in Proceeding of International Conference on Future Information and Communication Engineering, vol. 11, no. 1, pp. 327-329, 2019.
  7. Richard A. Fogel, "Grey Market Goods and Modern International Commerce: A Question of Free Trade," Fordham International Law Journal, vol. 10, no. 2, pp. 308-337, 1986.
  8. S. W. Kim, "Value Model for Applications of Big Data Analytics in Logistic," Journal of Digital Convergence, vol. 15, no. 9, pp. 167-178, 2017, DOI:https://doi.org/10.14400/JDC.2017.15.9.167.
  9. S. S. Kim, "Last Miles Logistics Model based on Big Data Analytics," The e-Business Studies, vol. 20, no. 4, pp. 241-254, 2019. DOI: 10.20462/TeBS.2019.8.20.4.241.
  10. J. K. Choi, "The Present Situation and Implications of Big Data Analysis in Korea and abroad," Korea Institute of Science & Technology Evaluation and Planning R&D InI, 2017.
  11. S. S. Jeong, "The A Study on Logistics Innovation Technology Following the Fourth Industrial Revolution: Focused on the Case of Logistics Platform of Samsung SDS," The e-Business Studies, vol. 20. no. 5, pp.111-123, 2019. DOI:10.20462/TeBS.2019.10.20.5.111.
  12. Friend, S. C. and Walker, P. H., "Welcome to the New World of Merchandising," Harvard Business Review, vol. 79, no. 10, pp. 133-141, 2001.
  13. Y. J. Shin, "The Perceived Effects of Mentoring on the Mentee's Organizational Socialization - Among the Fashion Merchandisers and Designers," Family and Environment Research, vol. 43, no. 3, pp. 75-89, 2005.
  14. S. B. Kang, "A Case Study on Development of the Efficient Merchandising Information Management System for Distribution Industry," The Journal of Internet Electronic Commerce Research, vol. 10, no. 4, pp.35-53, 2012.
  15. J. D. Kim and Y. S. Kim, "A Study on the Improvement of Customs Clearance System According to Increase of Overseas Direct Purchase," The Korea Institute of Maritime Law, vol. 31, no. 1, pp. 181-206, 2019. DOI:10.14443/kimlaw.2019.31.1.7.

피인용 문헌

  1. 빅 데이터 기반의 체납 수용가 예측 모델 vol.24, pp.7, 2019, https://doi.org/10.6109/jkiice.2020.24.7.827