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DETERMINANTS OF GENERATIVE ARTIFICIAL INTELLIGENCE ADOPTION IN INSURANCE COMPANIES

xu zaijuan et al.

International Journal of Business and Society2025https://doi.org/10.33736/ijbs.9562.2025article
ABDC C
Weight
0.37

What the paper says

This study aims to investigate the factors that influence the adoption of Generative artificial intelligence (GEN-AI) in insurance companies by utilizing the technology-organization-environment (TOE) framework.This study employs the TOE framework to examine the factors that impact the GEN-AI adoption at organizational level and was conducted on 307 insurance company managers and analysed using partial least squares (PLS). The research offers insurance companies and policy maker insights and recommendations for GEN-AI adoption. The empirical results reveal that relative advantage (RA), perceived compatibility (PC) and top management support (TMS) significantly influence GEN-AI adoption, CP, OR have positive effect on TMS, but perceived compatibility (PC) cannot significantly influence GEN-AI adoption. TMS mediates between competitive pressure（CP） and GEN-AI in insurance firms, and it also mediates between organizational readiness (OR) and GEN-AI. This study provides countermeasure advice to AI technology developers, insurance company manager, and practitioners.

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https://doi.org/https://doi.org/10.33736/ijbs.9562.2025

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@article{xu2025,
  title        = {{DETERMINANTS OF GENERATIVE ARTIFICIAL INTELLIGENCE ADOPTION IN INSURANCE COMPANIES}},
  author       = {xu zaijuan et al.},
  journal      = {International Journal of Business and Society},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.33736/ijbs.9562.2025},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.