Artificial Neural Network for Enhancing Supply Chain Risk Management
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68653-5_41
Reference22 articles.
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3. Wong, C.W., Lirn, T.-C., Yang, C.-C., Shang, K.-C.: Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization. Int. J. Prod. Econ. 226, 107–610 (2020)
4. Butler, C.: Five steps to organisational resilience: Being adaptive and flexible during both normal operations and times of disruption. J. Bus. Contin. Emer. Plan. 12(2), 103–112 (2018)
5. Ivanov, D., Dolgui, A., Sokolov, B.: The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. Int. J. Prod. Res. 57(3), 829–846 (2019) https://doi.org/10.1080/00207543.2018.1488086
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