Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102647
Title: Digital transformation strategies of trade enterprises: Key areas, development and implementation algorithms
Authors: Ianenko, M.
Ianenko, M.
Kirillova, T.
Amakhina, S.
Nikitina, N.
Issue Date: 2020
Publisher: IOP Publishing Ltd
Citation: Digital transformation strategies of trade enterprises: Key areas, development and implementation algorithms / M. Ianenko, M. Ianenko, T. Kirillova, et al. — DOI 10.1088/1757-899X/940/1/012051 // IOP Conference Series: Materials Science and Engineering. — 2020. — Vol. 940. — Iss. 1. — 012051.
Abstract: Digital transformation brings about fundamental transformations in relationships with partners, customers, and competitors. It is proved that digital transformation is to be studied thoroughly as a phenomenon that profoundly affects almost all the factors of the external and internal environment of the company. The article analyzes the key areas of the strategy development at the present stage of economy. The key trends of digital transformation in the activity of trade enterprises are taken into account. The article shows that such lines of innovative development as the improvement of digital methods of collecting, processing, and analyzing information; expansion of interaction with consumers in the digital environment; timely detection of changes in the competitive environment, a response to emerging threats by using technologies of Web Analytics, Video Analytics, Wi-Fi Analytics, data management platforms, Advanced Analytics, virtual and augmented reality technology, the Internet of Things, and many others can be regarded as the most important ones. The need for further improvement of digital technologies is recognized as a new company value for trade enterprises. Algorithms of forming digital transformation strategy components which contribute to the quick reaction to changes in the business environment of the company are proposed. © Published under licence by IOP Publishing Ltd.
URI: http://hdl.handle.net/10995/102647
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85094196729
PURE ID: 20130408
e55b44db-c926-4f6f-ae9d-925b871126aa
ISSN: 17578981
DOI: 10.1088/1757-899X/940/1/012051
metadata.dc.description.sponsorship: This paper was financially supported by the Ministry of Education and Science of the Russian Federation on the program to improve the competitiveness of Peter the Great St.Petersburg Polytechnic University (SPbPU) among the world's leading research and education centers in the 2016-2020.
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