Open AccessDigital transformation in companies: Strategic analysis, drivers and models
Author(s) -
Maria Tsenzharik,
Yulia Krylova,
Valeriia Steshenko
Publication year - 2020
Publication title -
vestnik sankt-peterburgskogo universiteta. seriâ 5, èkonomika/vestnik sankt-peterburgskogo universiteta. èkonomika
Language(s) - English
Resource type - Journals
eISSN - 2542-226X
pISSN - 1026-356X
DOI - 10.21638/spbu05.2020.303
Subject(s) - digital transformation , transformation (genetics) , computer science , balanced scorecard , terminology , process management , maturity (psychological) , business model , business , knowledge management , marketing , political science , world wide web , biochemistry , chemistry , linguistics , philosophy , law , gene
The article provides terminology for processes of digitalization and digital transformation. For structuring digital transformation processes, the authors offer a modification of the strategic scorecard and distinguish technologies as an additional perspective. Using business cases, the authors analyzed approaches to digital transformation, revealed principal digital transformation models, and described them. The interrelations between targets, models, and strategies of digital transformation are demonstrated. The authors argue that digital transformation has to be considered to be a part of corporate strategy rather than isolated processes, with common strategizing tools and metrics applied. External and internal environment elements for digital transformation are structured. It is shown that the internal digital environment can be evaluated with the companies’ digital maturity models. The external environment has a complex structure that can be described by the digital economy and society development in a country, a region, and a city; digital intensity level in an industry; and a digital ecosystem potential. All the authors’ contributions and conclusions are based on research papers, public statistical data, and analysis of Russian and foreign companies.