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Digital Warehousing as a Leading Logistics Potential

Vera Borisova (), Khasan Taymashanov () and Tamila Tasueva ()
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Vera Borisova: Saint Petersburg University of Economics
Khasan Taymashanov: Grozny State Oil Technical University
Tamila Tasueva: Grozny State Oil Technical University

A chapter in Sustainable Leadership for Entrepreneurs and Academics, 2019, pp 279-287 from Springer

Abstract: Abstract Digital transformation of business processes in various sectors and spheres of life radically changes the concept of “warehouse logistics.” Leading modern logistics systems in warehousing are a combination of digital communication platforms equipped with automated and robotic technologies. The priority is to accelerate the turnover of stocks. Flexibility, mobility, speed and smart analytics determine the competitiveness of warehouse logistics. In the logistics management system, the focus shifts towards information flow management. Conditions are created for the implementation of methods and tools for processing structured and unstructured data from various information sources and the optimization of diverse information flows using artificial intelligence technology. In Russia, the level of digital activity in this sector of the economy is still low. Among the main reasons, the following ones come through as significant: the decline in the growth rate of the logistics services market, the high cost of digital products, information risks and the lack of specialists with digital competencies. We associate the implementation of reserves of digital potential of warehouse logistics with the development of the infrastructure of access to the Internet system; the growth of Internet users; the development of online commerce; connecting state authorities to solving digitalization problems. We propose to provide state support for digital-type warehouse logistics systems based on the implementation of cluster-type technology platforms. Their institutional support can be implemented on the basis of a public–private partnership mechanism.

Date: 2019
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-15495-0_29

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DOI: 10.1007/978-3-030-15495-0_29

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