Organizational Adoption of Artificial Intelligence in Supply Chain Risk Management

Author:

Paul Souma Kanti,Riaz Sadia,Das Suchismita

Publisher

Springer International Publishing

Reference18 articles.

1. Snyder, L.V., Atan, Z., Peng, P., Rong, Y., Schmitt, A.J., Sinsoysal, B.: OR/MS models for supply chain disruptions: a review. IIE Trans. 48(2), 89–109 (2016)

2. Dun and Bradstreet. https://www.dnb.com/content/dam/english/economic-and-industry-insight/DNB_Business_Impact_of_the_Coronavirus_US.pdf. Accessed 05 Aug 2020

3. Haenlein, M., Kaplan, A.: A brief history of artificial intelligence: on the past, present, and future of artificial intelligence. Calif. Manag. Rev. 61(4), 5–14 (2019)

4. Colicchia, C., Strozzi, F.: Supply chain risk management: a new methodology for a systematic literature review. Supply Chain Manag. 17(4), 403–418 (2012)

5. Curkovic, S., Scannell, T., Wagner, B., Vitek, M.: Supply chain risk management within the context of COSO’s enterprise risk management framework. J. Bus. Adm. Res. 2(1), 15 (2013)

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