Title: Conceptual model of a social credit system on the Electronic Demography 4.0 platform

Authors: Alakbarova I. Yavar

Addresses: Institute of Information Technology, The Ministry of Science and Education of Republic of Azerbaijan, Baku, Az1114, Azerbaijan

Abstract: The application of digital technologies in public administration and the potential of using big data to assess citizens require the development of ethically sound and transparent social credit systems integrated into the electronic demographic system. This paper proposes a conceptual model for a social credit system (SCS) built upon the foundation of Electronic Demography 4.0 (E-demography 4.0). E-demography 4.0 provides a rich tapestry of digital data about individuals, offering the potential for a more comprehensive assessment of social credit. However, ethical considerations and potential pitfalls necessitate a carefully designed framework. The proposed model describes in detail the key architectural components of the SCS, including data sources, functional modules for collecting, processing, and analysing data, as well as mechanisms for the formation and visualisation of social credit. The article explores the synergistic potential of integrating the E-demography 4.0 system with the national population register (NPR) and the SCS. The assessment and management of social credit on the E-demography 4.0 platform can be important for more effective analysis of citizen behaviour and forecasting of social processes to ensure effective social management.

Keywords: Industry 4.0; E-demography 4.0; social credit; conceptual model; national population registers; NPRs.

DOI: 10.1504/EG.2026.154895

Electronic Government, an International Journal, 2026 Vol.22 No.4, pp.420 - 437

Received: 17 May 2024
Accepted: 04 Aug 2025
Published online: 17 Jul 2026 *

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