Trust in the Pension System in the Mirror of Scientific Discourse: A Sociological Analysis
( Pp. 137-144)
More about authors
Shikhgafizov Pirmagomed Sh.
Cand. Sci. (Sociol.), Associate Professor; associate professor, Department of Sociology, Faculty of Social Sciences and Mass Communications; leading researcher, Center for Banking Consulting and Applied Research
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Antonyuk Valeria P. Chief specialist of the Educational and Scientific Sociological laboratory of the Department of Sociology; Junior Researcher, Institute of Humanitarian Technologies and Social Engineering, Faculty of Social Sciences and Mass Communications; Financial University under the Government of the Russian Federation; Moscow, Russian Federation
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Antonyuk Valeria P. Chief specialist of the Educational and Scientific Sociological laboratory of the Department of Sociology; Junior Researcher, Institute of Humanitarian Technologies and Social Engineering, Faculty of Social Sciences and Mass Communications; Financial University under the Government of the Russian Federation; Moscow, Russian Federation
Abstract:
In the article, the authors consider the need to study the credibility of the pension system. The conducted sociological research using the method of quantitative and qualitative content analysis revealed the current level of scientific interest in the topic of trust in the pension system and related entities and institutions that play an important role in the functioning of the pension system. The object of the study was trust as a social phenomenon, and the subject was citizens’ trust in the pension system. The study revealed that trust is most often viewed as institutional, social, political, and digital trust. There were very few scientific publications directly related to trust in the pension system, which indicates that the topic has not been sufficiently studied in scientific discourse over the past 10 years. Given the emergence of new long-term savings tools, including for future pension provision, the issue of trust in the pension system is becoming relevant and requires more in-depth scientific coverage.
How to Cite:
Shikhgafizov P.Sh., Antonyuk V.P. Trust in the Pension System in the Mirror of Scientific Discourse: A Sociological Analysis. Sociopolitical Sciences. 2025. Vol. 15. No. 3. Pр. 137–144. (In Rus.). DOI: 10.33693/2223-0092-2025-15-3-137-144. EDN: SDOZFN
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Antonyuk V.P., Ivanova Ya.S., Tyurikov A.G. Network tools for building trust in the modern transforming economic relations (using the example of the sharing economy in the city of Moscow). Humanities and Social Sciences. Bulletin of the Financial University. 2024. No. 14 (3). Pp. 128–136. (In Rus.). DOI: 10.26794/2226-7867-2024-14-3-128-136. EDN: KVWWOX.
Iliycheva L.E., Kondrashov A.O., Lapin A.V. Trust as a bridge over the uncertainty gap between the government and society. Monitoring of Public Opinion: Economic and Social Changes. 2021. No. 2. Pp. 162–185. (In Rus.). DOI: 10.14515/monitoring.2021.2.1917. EDN: FQBHLX.
Moseyko V.V. The problem of trust and the modern Russian pension system. Bulletin of the Moscow University. Series 6: Economics. 2021. No. 5. Pp. 232–248. (In Rus.). DOI: 10.38050/013001052021511. EDN: RAZFBY.
Rogachev S.V., Ilyicheva M.V., Ivanov A.V. Social trust and the process of consolidation of society: new opportunities and risks. Proceedings of Tula State University. Humanities. 2022. No. 1. Pp. 129–140. (In Rus.). DOI: 10.24412/2071-6141-2022-1-129-140. EDN: NOCHSG.
Frolova E.V., Rogach O.V. Institutional trust in Russian regions. Bulletin of Perm University. Political Science. 2022. Vol. 16. No. 2. Pp. 49–58. (In Rus.). DOI: 10.17072/2218-1067-2022-2-49-58. EDN: GYMMJT.
Ebeling E.O., Cherepanova M.I. Trust: an interdiscursive analysis of the phenomenon. Sociodynamics. 2021. No. 8. Pp. 14–22. (In Rus.). DOI: 10.25136/2409-7144.2021.8.33192. EDN: NXMMPI.
Keywords:
trust, pension system, scientific publications, categories, content analysis, discourse analysis.
