The purpose of this paper is to propose a refined concept of social responsibility and highlight the problems and prospects of collecting and processing big data as a part of its implementation. The relevance of the topic is connected to today's requirements for the development of social competencies. The authors analyzed existing approaches to understanding social responsibility at individuals and companies levels and reviewed national models of corporate social responsibility. The paper focuses on the Chinese experience of building and using social rating, which is usually considered as an experience in using digital economy opportunities as one of the extremely specific approaches to restricting the rights and freedoms of citizens. In this study it is analyzed as an option for implementing a unified concept of social responsibility with the personal social responsibility placed in the center. This approach also provides an example of an information system that collects and synthesizes heterogeneous data needed to assess social responsibility at individuals and companies levels, as well as the criteria system for its assessment, creation of which is aimed at improving the well-being of society as a whole.
Translated title of the contributionSOCIAL RESPONSIBILITY: TYPES AND INTERCONNECTION
Original languageRussian
Pages (from-to)15-27
JournalВестник ИПБ (Институт профессиональных бухгалтеров)
Issue number6
StatePublished - 2020

    Scopus subject areas

  • Economics, Econometrics and Finance(all)

ID: 73568016