Purpose: This article provides a broad overview of the corpus of studies on digital finance in relation to small and medium enterprises (SMEs), and startups. Design/methodology/approach: Bibliometric analysis was used, allowing to investigate the relevant literature (735 articles). In accordance with best practices, relevant articles were identified on the topic following the PRISMA 2020 framework that ensures reproducible and rigorous results. The search then proceeds with performance analysis, identifying key trends at the intersection of research fields, including distribution of articles by year, citations by year, most cited contributions, and most cited and prolific authors. This is followed by analyses of co-citation, co-authorship and co-occurrence with a detailed description of the thematic clusters identified. Findings: Performance analysis shows that scholarly output covers a 12-year period, starting in 2011, and demonstrates a growing interest in this topic. Co-occurrence analysis reveals a significant intellectual structure which allows numerous knowledge gaps to emerge, and these offer new opportunities to be addressed in future research. Originality: This study uniqly focuses on the evolution of the research domain related to digital finance associated with SMEs and startups. It provides implications for practitioners and avenues that researchers can develop in the future to produce impactful studies.
Digital Finance for SMEs and Startups: A Bibliometric Analysis and Future Research
Fedele, M.;
2024-01-01
Abstract
Purpose: This article provides a broad overview of the corpus of studies on digital finance in relation to small and medium enterprises (SMEs), and startups. Design/methodology/approach: Bibliometric analysis was used, allowing to investigate the relevant literature (735 articles). In accordance with best practices, relevant articles were identified on the topic following the PRISMA 2020 framework that ensures reproducible and rigorous results. The search then proceeds with performance analysis, identifying key trends at the intersection of research fields, including distribution of articles by year, citations by year, most cited contributions, and most cited and prolific authors. This is followed by analyses of co-citation, co-authorship and co-occurrence with a detailed description of the thematic clusters identified. Findings: Performance analysis shows that scholarly output covers a 12-year period, starting in 2011, and demonstrates a growing interest in this topic. Co-occurrence analysis reveals a significant intellectual structure which allows numerous knowledge gaps to emerge, and these offer new opportunities to be addressed in future research. Originality: This study uniqly focuses on the evolution of the research domain related to digital finance associated with SMEs and startups. It provides implications for practitioners and avenues that researchers can develop in the future to produce impactful studies.File | Dimensione | Formato | |
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