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We used the R-based JASP software (University of Amsterdam) environment to evaluate our proposed research model [94] and the lavaan code to conduct CB-SEM [95] analysis. Before performing the SEM analyses, we tested the fit, reliability, and validity of the applied model. The comparative fit index (>0.95), Tucker-Lewis index (>0.95), root mean square error of approximation (<0.08), and standardized root mean square residuals (<0.08) complied with the conventional cut-off criteria [96,97]. Based on Kline [98], the χ² / df ratios indicated a sufficient model fit across models (<3). Common method bias was not a problem, as the Harman single factor test indicated that only a variance of 27.6% were explained by a single factor consisting of all model items [99]. In summary, all fit indexes revealed a very good overall model fit (see Table 4), with all indicators reaching their respective thresholds.

Covariance-based structural equation modelling results.

aStandardized path coefficients; standard error of the estimators in parentheses.

bN/A: not applicable.

cH: hypothesis.

dPRPP: reduction of privacy risks.

ePR: reduction on performance risks.

fSR: reduction of social risks.

gCC: reduction of COVID-19 concerns.

hRSMEA: root mean square error of approximation.

iSRMR: standardized root mean square residuals.

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