Assesment of the efficiency of risk management of the logistics system of the enterprise using the method of discriminant anakysis
Author
Abstract
Suggested Citation
DOI: https://doi.org/10.36910/6775-2308-8559-2022-3-8
Download full text from publisher
References listed on IDEAS
- Sebastian Tillmanns & Manfred Krafft, 2022. "Logistic Regression and Discriminant Analysis," Springer Books, in: Christian Homburg & Martin Klarmann & Arnd Vomberg (ed.), Handbook of Market Research, pages 329-367, Springer.
- George Baryannis & Sahar Validi & Samir Dani & Grigoris Antoniou, 2019. "Supply chain risk management and artificial intelligence: state of the art and future research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2179-2202, April.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
- Wang, Jiaxin & Zhao, Mu & Huang, Xiang & Song, Zilong & Sun, Di, 2024. "Supply chain diffusion mechanisms for AI applications: A perspective on audit pricing," International Review of Financial Analysis, Elsevier, vol. 93(C).
- Lu Han & Hanping Hou & Z. M. Bi & Jianliang Yang & Xiaoxiao Zheng, 2024. "Functional Requirements and Supply Chain Digitalization in Industry 4.0," Information Systems Frontiers, Springer, vol. 26(6), pages 2273-2285, December.
- Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
- Blessing Takawira & David Pooe, 2024. "Challenges and opportunities for pharmaceutical SMEs from South Africa in embedding into global supply chains a systematic literature review," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 6(3), pages 01-22, July.
- Samadhiya, Ashutosh & Yadav, Sanjeev & Kumar, Anil & Majumdar, Abhijit & Luthra, Sunil & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2023. "The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?," Technology in Society, Elsevier, vol. 75(C).
- Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
- Wang, Shaofeng & Zhang, Hao, 2025. "Enhancing environmental, social, and governance performance through artificial intelligence supply chains in the energy industry: Roles of innovation, collaboration, and proactive sustainability strategy," Renewable Energy, Elsevier, vol. 245(C).
- Hajar Fatorachian, 2024. "Leveraging Artificial Intelligence for Optimizing Logistics Performance: A Comprehensive Review," GATR Journals gjbssr655, Global Academy of Training and Research (GATR) Enterprise.
- Amine Belhadi & Venkatesh Mani & Sachin S. Kamble & Syed Abdul Rehman Khan & Surabhi Verma, 2024. "Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation," Annals of Operations Research, Springer, vol. 333(2), pages 627-652, February.
- Li, Jian & Yi, Mei & Sun, Qing, 2025. "Artificial intelligence and supply chain risk: Mediating effects of supply chain efficiency and resilience," International Review of Financial Analysis, Elsevier, vol. 108(PA).
- Mohammadreza Akbari & John L. Hopkins, 2022. "Digital technologies as enablers of supply chain sustainability in an emerging economy," Operations Management Research, Springer, vol. 15(3), pages 689-710, December.
- Hind Aboussikine & Sonia Bendimerad & Thierry Sauvage & Mohamed Haouari, 2023. "Comment l’Intelligence Artificielle dompte la traçabilité des processus Supply Chain ? Application à NOZ France," Post-Print hal-04536092, HAL.
- Wang, Weizhong & Chen, Yu & Zhang, Tinglong & Deveci, Muhammet & Kadry, Seifedine, 2024. "The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 544-566.
- Wang, Liangcheng & Chen, Yizheng, 2025. "Artificial intelligence and corporate investment efficiency: Evidence from China," Emerging Markets Review, Elsevier, vol. 68(C).
- Manu Sharma & Deepak Kaushal & Sudhanshu Joshi, 2023. "Strategic measures for enhancing resiliency in knowledge base supply chains: an emerging economy perspective," Operations Management Research, Springer, vol. 16(3), pages 1185-1205, September.
- Han, Peng & Huo, Yanfang & Liu, Weihua & Qi, Ershi & Cai, Helen, 2026. "The development strategy of supply chain intelligent technology considering technology development uncertainty," European Journal of Operational Research, Elsevier, vol. 328(2), pages 496-510.
- Anas Iftikhar & Imran Ali & Ahmad Arslan & Shlomo Tarba, 2024. "Digital Innovation, Data Analytics, and Supply Chain Resiliency: A Bibliometric-based Systematic Literature Review," Annals of Operations Research, Springer, vol. 333(2), pages 825-848, February.
- Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
- Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cuc:eforum:v:12:y:2022:i:3:p:62-71. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Economic Forum (email available below). General contact details of provider: https://e-forum.com.ua/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/cuc/eforum/v12y2022i3p62-71.html