Transformation of the meso-level research landscape in economics: A systematic bibliometric review
Abstract
Purpose: to update the methodological foundation of meso-level economics research through a systematic bibliometric analysis that identifies and structures its key thematic areas and theoretical and methodological approaches. Methods: the paper employs a systematic bibliometric analysis using the VOSviewer tool to construct terminological maps, cluster data and analyse the dynamics of topics. The present study is grounded in a selection of publications from the Scopus database (2008–2025), which have been filtered by mention of the meso-level of economy. The methodology encompasses a retrospective analysis of the mesolevel concept evolution, the identification of central terms, and the application of а cluster analysis to terminological domains. Results: the context of the development of meso-level economics research is defined. Eight thematic clusters reveal a paradigm shift: from static structures to dynamic transformations, and from theoretical to applied management tools. The sustainable development agenda – particularly its environmental dimension - emerges as central, enabled by digital transformation. Critical gaps include: (1) weak conceptualization of integration forms, and (2) insufficient attention to socio-demographic and geopolitical factors. Stakeholder approaches are essential for harmonizing interests in quasi-integrated structures. The meso-level is redefined as a dynamic space for harmonizing stakeholder interests and resources to enhance interorganizational efficiency. Conclusions and Relevance : the meso-level confirms its role as a pivotal adaptation space for global crises and sustainability. Methodological pluralism and deeper theoretical integration are imperative. The future research should prioritize developing rigorous conceptual frameworks for business integration forms.
Fields of Study & Subjects
Economic and Business Studies
Economic Theory and Institutions
scientometrics and bibliometrics research
Publication details
- Journal / source
- MIR (Modernization Innovation Research)
- Volume
- 17
- Issue
- 1
- Pages
- 39–59
- Publication date
- 11 March 2026
- Language
- EN