Mapping the Scientific Landscape of Financial Solvency in the Insurance Industry
Subject Areas : Financial Knowledge of Securities Analysis
KHADIJEH POURZAL
1
,
Nowrouz Nourollahzadeh
2
,
ROYA DARABI
3
,
Mahboobeh Jafari
4
1 - Ph.D. Candidate in Finance and Insurance, Islamic Azad University, South Tehran Branch, Tehran, Iran
2 - Assistant Professor, Accounting, Faculty of Economics and Accounting, Islamic Azad University, South Tehran Branch, Tehran, Iran. (Corresponding Author)
3 - Professor, Accounting, Faculty of Economics and Accounting, Islamic Azad University, South Tehran Branch, Tehran, Iran.
4 - Assistant Professor, Accounting, Faculty of Economics and Accounting, Islamic Azad University, South Tehran Branch, Tehran, Iran
Keywords: Financial Solvency, Insurance, Scientometrics, Risk, Regulation,
Abstract :
Background and Objective: Financial solvency is one of the fundamental indicators for evaluating the financial health of insurance companies and ensuring the sustainability of their performance in meeting financial obligations. This concept plays a crucial role not only in the decision-making of regulatory bodies and investors but also in building public trust in the insurance industry. The main objective of this study is to map the scientific landscape of financial solvency in the insurance industry through a scientometric analysis, identifying its conceptual structure, frequent thematic areas, knowledge gaps, and interrelationships between key topics.
Research Method: This applied study follows a descriptive–analytical approach. Research data were extracted from the Scopus database and analyzed using the VOSviewer software. After retrieving keywords related to financial solvency, a co-occurrence and conceptual clustering analysis was conducted to identify the thematic structure of the literature. Furthermore, the Pareto principle and analytical charts were used to examine the concentration of studies on specific keywords.
Results: The scientific mapping analysis indicates that most studies have concentrated on financial and regulatory aspects, while areas such as emerging technologies, behavioral analysis, and the impact of climate change on solvency have received limited attention. These findings can provide a valuable foundation for guiding future research, optimizing regulatory policies, and developing analytical models within the insurance industry.
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