Determinants of InsurTech adoption in Jordan: Trust, risk, and regulatory protection
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DOIhttp://dx.doi.org/10.21511/ins.17(1).2026.03
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Article InfoVolume 17 2026, Issue #1, pp. 36-50
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Type of the article: Research Article
Abstract
InsurTech adoption faces challenges in emerging markets, where consumers are concerned about the fairness of insurance claims and the security of InsurTech systems. The aim of this study is to test the InsurTech adoption intention in Jordan based on trust, perceived risk, and perceived regulatory protection. The research design is based on a survey of insurance consumers in Jordan (N = 346).
Adoption intention is positively correlated with trust (r = 0.71) and regulatory protection (r = 0.60) and is negatively correlated with perceived risk (r = −0.38). Regulatory protection is positively correlated with trust (r = 0.65) and negatively correlated with perceived risk (r = −0.52). The model explains 57% of the variance in adoption intention (R-squared = 0.57). Trust has the strongest influence on adoption intention (beta = 0.520, p < 0.001), whereas perceived risk has a negative effect (beta = −0.180, p < 0.001). Regulatory protection also positively influences adoption intention (beta = 0.120, p = 0.012) and trust (beta = 0.650, p < 0.001), and negatively influences perceived risk (beta = −0.530, p < 0.001). Regulatory protection also indirectly influences adoption intention through trust (beta = 0.340, p < 0.001) and perceived risk (beta = 0.100, p < 0.001).
InsurTech adoption intention in Jordan is primarily based on confidence and assurance, where trust is the most important factor, and the influence of regulation is manifested through trust and risk perceptions.
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JEL Classification (Paper profile tab)G22, G28, L86
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References66
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Tables11
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Figures0
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- Table 1. Sample distribution and respondent details
- Table 2. Descriptive statistics and construct correlations
- Table 3. Measurement model assessment
- Table 4. Structural model quality indicators
- Table 5. Structural paths, mediation effects, and hypothesis testing
- Table 6. Total effect of regulatory protection on adoption intention and mediation decomposition
- Table B1. Consent and eligibility
- Table C1. InsurTech adoption intention (INT)
- Table C2. Trust in InsurTech providers and digital processes (TRU)
- Table C3. Perceived risk of using InsurTech (RISK)
- Table C4. Perceived regulatory protection for digital insurance (REG)
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