Bibliometric Analysis of InsurTech

Abstract

InsurTech, derived from "insurance technology," refers to technology and innovation whose primary goals are to provide better services and technology to the insurance industry in the current progressive technological environment and industrial revolution. That industry increasingly relies on technology to obtain a competitive advantage and it assists decision-makers make better decisions. We use bibliometric analysis to assess the trend in InsurTech. We analyse all InsurTech-related publications on Scopus: 175 articles based on keywords relevant to InsurTech in the articles’ titles, keywords, and abstract. Frequency analysis and data visualisation use Microsoft Excel, VOSviewer and the Bibliometric R package. We use standard bibliometric indicators: publication year, document type, source type, source title, language, subject area, keyword analysis, geographical distribution, authorship, and citation analysis. There has been a remarkable increase in the number of publications on InsurTech since 2017. The growing number of InsurTech publications demonstrates the importance of technology in the insurance sector and will undoubtedly affect the economy and society. Keyword analysis indicates that using insurance big data in various studies requires a theoretical link with the InsurTech topic and the insurance contract, which is a potential topic for future study.

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Stored only when both papers are in the corpus — 8 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.