바로가기메뉴

본문 바로가기 주메뉴 바로가기

ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
사전등록 바로가기
 

logo

ISSN : 1738-3110

논문 상세

이전 다음
선공개 논문 논문 투고

Vol.19 No.2
Citation Share

Fresh Agricultural Products Online Retailer's Emergency Logistics Capability Framework During the Pandemic

Fresh Agricultural Products Online Retailer’s Emergency Logistics Capability Framework During the Pandemic

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2021, v.19 no.2, pp.65-75
https://doi.org/https://doi.org/10.15722/jds.19.2.202102.65
SU, Miao (Department of International Trade and Logistics, Chung-Ang University)
LIU, Yanfeng (Department of International Trade and Logistics, Chung-Ang University)
PARK, Keun-sik (Department of International Trade and Logistics, Chung-Ang University)
SU, Miao, LIU, Yanfeng, & PARK, Keun-sik. (2021). Fresh Agricultural Products Online Retailer's Emergency Logistics Capability Framework During the Pandemic. The Journal of Distribution Science(JDS), 19(2), 65-75, https://doi.org/https://doi.org/10.15722/jds.19.2.202102.65
  • 다운로드 수
  • 조회수
PDF 다운로드

Abstract

Purpose: During the pandemic, a large number of orders forced online retailers of fresh produce to quickly change their emergency logistics capabilities to meet the needs of ordinary consumers during the pandemic. Our research aims to help online retailers establish an emergency physical distribution framework for fresh produce during disasters to meet consumer needs. Research design and methodology: 160 effective responses were collected from the online response team in Wuhan, China, and exploratory factor analysis was used to determine the emergency logistics capability framework. Twelve experts were invited online to collect their scoring opinions and use the entropy method to determine the importance of emergency logistics capabilities. Results: Our results have identified a total of 17 emergency logistics factors for online retailers, and we found that Transportation route planning and reconstruction capabilities, Emergency plan planning ability, and Supply chain real-time information sharing capability are the most important in the overall framework. Conclusions: This research completely established the physical distribution framework of fresh agricultural products online retailer in emergency situations. It enriches academic resources in the field of emergency distribution and provides a scientific basis for corporate managers to improve their physical distribution capabilities in emergency situations.

keywords
E-commerce, Emergency Logistics, Logistics Capability, Fresh Products, Entropy Method

참고문헌

1.

Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socioeconomic planning sciences, 46(1), 4-13.

2.

Gong, B., Chen, X., & Hu, Chaozhong. (2012). Fuzzy entropy clustering approach to evaluate the reliability of emergency logistics system. Energy Procedia, 16(1), 278-283.

3.

Ju, Y., Wang, A., & Liu, X. (2012). Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach. Expert Systems with Applications, 39(8), 6972-6981.

4.

Liu, J., & Ke, X. (2012). Improvement in logistics of fresh agricultural products. Journal of System Management Sciences, 2(2), 36-45.

5.

Ou, Z., Wang, H., Jiang, D., Lu, B., Gan, W., & Liang, J. (2004). Emergency logistics. Journal of Chongqing University, 27(3), 164-167.

6.

Ö zdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of operations research, 129(1-4), 217-245.

7.

Pettit, S. J., & Beresford, A. K. (2005). Emergency relief logistics:an evaluation of military, non-military and composite response models. International Journal of Logistics: Research Applications, 8(4), 313-331.

8.

Sheu, J.-B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics Transportation Review, 43(6), 687-709.

9.

Tong-tong, N. (2011). Selection of Capability Evaluation Index of Emergency Logistics Center under Unconventional Emergency. Technology Innovation Management, 3(1), 247-250.

10.

Tovia, F. (2007). An emergency logistics response system for natural disasters. International Journal of Logistics Research Applications, 10(3), 173-186.

11.

Wang, K. Y., & Yip, T. L. (2018). Cold-chain systems in China and value-chain analysis. In Finance and risk management for international logistics and the supply chain, 10(1), 217-241.

12.

Xiaoqun, L., Xinzhao, Y., Jianzhong, S., & Qizheng, S. (2007). Conception and Constitution Research of Emergency Logistics Capability [J]. Journal of Catastrophology, 2(1). 123-127.

13.

Xie, R.-h., & QIU, Z.-q. (2005). Discussion on the Construction and Operating Management of Emergency Logistics System [J]. Logistics Technology, 10(1), 78-80.

14.

Xu, K., & Gong, H. (2016). Emergency logistics support capability evaluation model based on triangular fuzzy entropy and Choquet integral. Journal of Industrial Production Engineering, 33(7), 435-442.

15.

Zhang, J., & Fu, S. (2012). An effective DEA-AHP algorithm for evaluation of emergency logistics performance. Advances in information sciences service sciences, 4(12), 1-8.

The Journal of Distribution Science(JDS)

선공개 논문 논문 투고 OA 정책