Data-Driven Underwriting Capability and Insurance Competitiveness: A Systematic Literature Review of Digital Analytics and Value-Creation Mechanisms
DOI:
https://doi.org/10.38035/dijefa.v7i5.7500Keywords:
digital analytics capabilities, data-driven underwriting, insurance competitiveness, systematic literature review, general insuranceAbstract
Digital analytics capabilities have the potential to help insurance companies process data into relevant information for underwriting decisions. However, the use of analytics technology is not synonymous with data-driven underwriting capabilities, and increased risk assessment accuracy does not in itself demonstrate increased firm competitiveness. This systematic literature review was designed to map empirical evidence on the relationship between digital capabilities, data-driven underwriting, and firm outcomes, while assessing the proximity of this evidence to the research idea of Digital Analytics Capability and Organization Capability–Data Driven Underwriting Capability–Insurance Competitiveness in general insurance companies in Indonesia. An initial search using Dimensions through three queries yielded 30 records each. After deduplication, 83 unique records were generated. Interim filtering grouped the records into core candidates, supporting articles, exclusion candidates, and review articles. Initial full-text validation was performed on five articles, while a targeted search identified several additional candidates that still require examination. Initial evidence indicates research on risk assessment analytics, information underwriting, decision automation, AI governance, and distribution digitalization; However, this evidence cannot be equated with direct testing of the overall mediation mechanism of data-driven underwriting capabilities toward competitiveness. Therefore, the purpose of this paper is to demonstrate a synthesis framework and evidence audit protocol.
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Copyright (c) 2026 Chusnul Chotimah, Ni Nyoman Sawitri, Vidiyana Rizal Putri
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