Bibliometric Analysis of Global Research Trends in Predicting Financial Distress among Small and Medium-Sized Enterprises (SMEs)

A Systematic Review

Abstract

The rise in financial distress has become a critical concern for researchers worldwide, prompting efforts to develop predictive models that mitigate bankruptcy risks among businesses. Such financial instability threatens a company’s reputation and performance, often leading to volatility, uncertainty, and potential insolvency. This study conducts a bibliometric analysis to examine global research trends in financial distress prediction among Small and Medium-Sized Enterprises (SMEs). Using a systematic review of peer-reviewed articles published from 2014 to 2024, sourced through the Google Scholar database, this analysis evaluates publication patterns, research productivity, and key themes in the literature. The findings reveal a limited volume of global studies on SME financial distress, with particularly sparse research in Nigeria, underscoring a critical gap in regional understanding. Results indicate an urgent need for policy interventions that prioritize research funding, support for predictive analytics, and strategic frameworks to strengthen SME resilience. The study recommends further bibliometric analysis across multiple databases to deepen insights into financial distress prediction and support evidence-based policy development for SMEs.