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Fig 1.

The top 10 provinces in China with the largest elderly populations in 2020.

(A) Number of elderly people in the top 10 provinces, (B) The geographical locations of these provinces.

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Fig 2.

Theoretical framework.

Note: Red – Social influence and facilitating conditions are fundamental constructs in the UTAUT, serving as independent variables. Perceived trust, compatibility, and perceived cost are extended constructs that function as independent variables. Yellow –Perceived usefulness and perceived ease of use are fundamental constructs in the TAM, acting as mediating variables. Blue – Behavioral intention is a key construct in both the TAM and UTAUT, serving as the dependent variable.

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Table 1.

Measurement items.

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Table 1 Expand

Table 2.

Sample size of the elderly based on region.

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Table 2 Expand

Table 3.

Demographic information of respondents.

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Table 4.

Full collinearity.

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Table 5.

Standardized factor loadings, Cronbach’s alphas, CRs, and AVEs.

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Table 6.

Heterotrait-monotrait ratio (HTMT).

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Table 7.

Correlation matrix among the constructs and square root of AVEs.

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Table 8.

Model fit indices.

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Fig 3.

Model path analysis results.

Note: *p < 0.05, ***p < 0.001. The dashed red line represents an invalid hypothesis.

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Table 9.

Model path analysis results.

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Table 9 Expand