Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation-Reference-Cited by-同舟云学术

Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation

Published:2021-02-03 Issue: Volume: Page:
ISSN:0254-5330
Container-title:Annals of Operations Research
language:en
Short-container-title:Ann Oper Res

Author:

Belhadi Amine^ORCID,Mani Venkatesh^ORCID,Kamble Sachin S.^ORCID,Khan Syed Abdul Rehman^ORCID,Verma Surabhi^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Link

http://link.springer.com/content/pdf/10.1007/s10479-021-03956-x.pdf

Reference92 articles.

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2. Ali, A., Mahfouz, A., & Arisha, A. (2017). Analysing supply chain resilience: integrating the constructs in a concept mapping framework via a systematic literature review. Supply Chain Management, 22(1), 16–39.

3. Altay, N., Gunasekaran, A., Dubey, R., & Childe, S. J. (2018). Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within the humanitarian setting: A dynamic capability view. Production Planning & Control, 29(14), 1158–1174.

4. Arlbjørn, J. S., Haas, H. d., & Munksgaard, K. B. (2011). Exploring supply chain innovation. Logistics Research, 3, 3–18.

5. Armstrong, J. S., & Overton, T. S. (1977). Estimating non-response bias in mail surveys. Journal of marketing research, 14(3), 396–402.

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