The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era
Abstract
Abstract Supply chain operations have entered the digital era with the emergence of blockchain technology. In this paper, we discuss how the mean–variance (MV) approach can be applied to explore global supply chain operations risk with air logistics in the blockchain technology era. To be specific, we examine the related literature from four areas, namely air-logistics operations, demand management, supply management, and supply-demand coordination. We propose how the blockchain technology can be applied to facilitate the implementation of mean-variance risk analysis for global supply chain operations. We then highlight several promising areas for further studies. A future research agenda is developed.
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Citations
Cites
Blockchain technology and its relationships to sustainable supply chain management
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1533261 · Cited by 4,118
Big Data Analytics in Operations Management
Choi, T., Wallace, S. W., & Wang, Y. (2018) · Production and Operations Management · doi:10.1111/poms.12838 · Cited by 1,027
Self-citationArunachalam, D., Kumar, N., & Kawalek, J. P. (2018) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2017.04.001 · Cited by 535
Cited by
Ivanov, D. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101922 · Cited by 2,280
Dutta, P., Choi, T.-M., Somani, S., & Butala, R. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102067 · Cited by 1,545
Self-citationGovindan, K., Mina, H., & Alavi, B. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101967 · Cited by 641
Lohmer, J., Bugert, N., & Lasch, R. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107882 · Cited by 404
Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic
Choi, T.-M. (2021) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102190 · Cited by 259
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Metadata
- Authors
- Choi, T.-M., Wen, X., Sun, X., & Chung, S.-H.
- Venue
- Transportation Research Part E: Logistics and Transportation Review
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 127
- Pages
- 178-191
- ISSN
- 1366-5545 (ISSN-L)
- OpenAlex
- W2946153667
- Cited by
- 442
- References
- 3
- FWCI
- 96.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- Choi, T.-M., Wen, X., Sun, X., & Chung, S.-H. (2019). The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era. Transportation Research Part E: Logistics and Transportation Review. https://doi.org/10.1016/j.tre.2019.05.007
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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