3043. Insurance industry performance analytics: A Bibliometric literature review
Invited abstract in session WC-60: DEA applications in Banking and Finance, stream Data Envelopment Analysis and its applications.
Wednesday, 12:30-14:00Room: Western LT
Authors (first author is the speaker)
| 1. | Gordana Savic
|
| Faculty of Organizational Sciences, University of Belgrade | |
| 2. | Isidora Gaćeša
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| University of Belgrade-Faculty of Organizational Sciences | |
| 3. | Milan Martic
|
| University of Belgrade-Faculty of Organizational Sciences | |
| 4. | Violeta Cvetkoska
|
| Management, Ss. Cyril and Methodius University in Skopje, Faculty of Economics-Skopje |
Abstract
The insurance industry increasingly relies on performance analytics to drive business simplification, informed decision-making, operational efficiency, and competitive advantage. Insurers can enhance decision-making, improve productivity, and adapt to evolving market conditions by utilising sophisticated risk models and large databases. Performance analytics tools such as Data Envelopment Analysis (DEA), Stochastic Frontier Analysis (SFA), Benchmarking, and the Balanced Scorecard help insurers refine risk models, assess efficiency, and align performance with strategic goals. These tools enable insurers to quantify risk, automate processes, and improve customer satisfaction, positioning them to thrive in a competitive marketplace. Performance analytics is essential for driving innovation, long-term success, and competitiveness in the insurance industry. This study evaluates the performance analytics applied in insurance industry papers, focusing on DEA methodology using bibliometric analysis. By reviewing literature published between 2020 and 2025, the study aims to provide a comprehensive understanding of the role of performance analytics in fostering success and growth in the insurance sector.
Keywords
- Data Envelopment Analysis
- Finance and Banking
- Risk Analysis and Management
Status: accepted
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