Innovative approaches to logistics risk management in the Republic of Kazakhstan
Abstract
The presented scientific article examines innovative approaches to logistics risk management in the Republic of Kazakhstan using examples and statistical data. Approaches such as the use of Internet of Things (IoT) technologies, data analytics and machine learning, digitalization and automation of processes, as well as hybrid logistics models are considered in the context of their advantages and disadvantages. Specific examples of the integration of each approach into the practice of companies in the Republic of Kazakhstan and statistical data on the effectiveness of their implementation are given. The prospects of innovative approaches in logistics in Kazakhstan are discussed, challenges and contradictions are identified, and the need for balancing between the needs of business, society and the state in order to achieve sustainable development of logistics systems is pointed out.
About the Authors
S. E. Bekzhanova
K.Sagadiev University of International Business
Kazakhstan
Kazakhstan
Doctor of Tech.Sc. professor of Department of Management and Business
A. Mashanlo
K.Sagadiev University of International Business
Kazakhstan
Kazakhstan
Student
A. Yusupov
K.Sagadiev University of International Business
Kazakhstan
Kazakhstan
Student
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Review
For citations:
Bekzhanova S.E., Mashanlo A., Yusupov A. Innovative approaches to logistics risk management in the Republic of Kazakhstan. Logistics and Supply Chain Management. 2023;20(4):66-76. (In Russ.)
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