Group Decision-Making Models in Financial Management: A Bibliometric Analysis
Keywords:
group decision-making, bibliometric analysis, financial management, consensus models, VOSviewerAbstract
This study examines the intellectual structure and research trajectory of group decision-making (GDM) models in financial management using a bibliometric approach, aiming to identify collaboration patterns, dominant themes, and emerging research frontiers. Data were retrieved from the Scopus database using a structured Boolean query covering the period 1993 to 2025, yielding 86 relevant scientific articles. VOSviewer software was employed to perform co-authorship, co-occurrence, and text data analyses to map the collaborative network and thematic structure of the field. Publication output exhibits a sustained upward trajectory, with a pronounced surge following the 2008 global financial crisis. Four thematic clusters are identified: consensus models and group techniques, financial management applications, behavioral and cognitive dimensions, and technology-driven analytics. Collaborative networks reveal a core-periphery structure, with dominance by institutions in developed economies and limited engagement from emerging-market contexts. The findings suggest that financial practitioners and policymakers should prioritize the integration of artificial intelligence, big data, and ESG-oriented frameworks within group decision processes to enhance the robustness of collective financial judgments. This study provides the first systematic bibliometric mapping of GDM models specifically situated within the financial management domain, revealing thematic convergences with digital transformation and sustainability that prior narrative reviews have not systematically captured.
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