Uncovering the impact of COVID-19 on shipping and logistics
-д хадгалсан:
| -д хэвлэсэн: | Maritime Business Review vol. 7, no. 4 (2022), p. 305-317 |
|---|---|
| Үндсэн зохиолч: | |
| Бусад зохиолчид: | |
| Хэвлэсэн: |
Emerald Group Publishing Limited
|
| Нөхцлүүд: | |
| Онлайн хандалт: | Citation/Abstract Full Text Full Text - PDF |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 2849291660 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2397-3757 | ||
| 022 | |a 2397-3765 | ||
| 024 | 7 | |a 10.1108/MABR-03-2021-0018 |2 doi | |
| 035 | |a 2849291660 | ||
| 045 | 2 | |b d20220101 |b d20221231 | |
| 100 | 1 | |a Hirata, Enna |u Center for Mathematical and Data Sciences, Kobe University, Kobe, Japan | |
| 245 | 1 | |a Uncovering the impact of COVID-19 on shipping and logistics | |
| 260 | |b Emerald Group Publishing Limited |c 2022 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a PurposeThis research aims to uncover coronavirus disease 2019’s (COVID-19's) impact on shipping and logistics using Internet articles as the source.Design/methodology/approachThis research applies web mining to collect information on COVID-19's impact on shipping and logistics from Internet articles. The information extracted is then analyzed through machine learning algorithms for useful insights.FindingsThe research results indicate that the recovery of the global supply chain in China could potentially drive the global supply chain to return to normalcy. In addition, researchers and policymakers should prioritize two aspects: (1) Ease of cross-border trade and logistics. Digitization of the supply chain and applying breakthrough technologies like blockchain and IoT are needed more than ever before. (2) Supply chain resilience. The high dependency of the global supply chain on China sounds like an alarm of supply chain resilience. It calls for a framework to increase global supply chain resilience that enables quick recovery from disruptions in the long term.Originality/valueDiffering from other studies taking the natural language processing (NLP) approach, this research uses Internet articles as the data source. The findings reveal significant components of COVID-19's impact on shipping and logistics, highlighting crucial agendas for scholars to research. | |
| 653 | |a Internet | ||
| 653 | |a COVID-19 | ||
| 653 | |a Shipping | ||
| 653 | |a Economic crisis | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Data mining | ||
| 653 | |a Business indicators | ||
| 653 | |a Pandemics | ||
| 653 | |a Social networks | ||
| 653 | |a Epidemics | ||
| 653 | |a Data processing | ||
| 653 | |a Supply chains | ||
| 653 | |a Natural language processing | ||
| 653 | |a Algorithms | ||
| 653 | |a Logistics | ||
| 653 | |a Recovery | ||
| 653 | |a Coronaviruses | ||
| 653 | |a Trade restrictions | ||
| 653 | |a Shipping industry | ||
| 653 | |a Research | ||
| 653 | |a Language | ||
| 653 | |a Computers | ||
| 653 | |a Internet resources | ||
| 653 | |a Machine learning | ||
| 653 | |a Economic | ||
| 700 | 1 | |a Matsuda, Takuma |u Takushoku University, Tokyo, Japan | |
| 773 | 0 | |t Maritime Business Review |g vol. 7, no. 4 (2022), p. 305-317 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2849291660/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/2849291660/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2849291660/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |