Digital Modeling for Scoping Review in Studying Intergenerational Social Capital in Organizations

Abstract

Objective. Identify key topics presented in contemporary research on the relationship between social capital and generational differences in organizations, utilizing digital processing approaches on a dataset of scientific publications. Background. The emergence of new technologies, labor migration, and the involvement of representatives of different generations in labor activities have highlighted the process of continuous socialization of individuals in the organizational environment, and consequently, the search for socio-psychological tools for its implementation. Digital transformation has opened up new mechanisms for studying the continuous socialization of individuals of all ages, in which social capital plays an important role, encompassing trust, involvement in social networks and their position in them, as well as the frequency of interactions between people, which are shifting to virtual spaces in contemporary reality. Methodology. Scoping review (k = 129) using a topic modeling algorithm in the Python programming language. Conclusions. The scoping review in studying intergenerational social capital in organizations of various ownership forms has identified six topics that reflect the specificity of socialization of certain generational groups engaged in work activities.

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