Table 5

Direct and indirect effects of tested variables

RelationsIndependent variableDependent variableEstimateSEC.R./p-value
H1a (−)ICT demandsWell-being0.0220.0500.446
 GenderWell-being0.1540.0801.922
 SeniorityWell-being0.0880.0342.607**
 Number of employees in teamWell-being0.1300.0472.773**
H1b (−)ICT demandsJob performance−0.0090.019−0.471
 GenderJob performance0.1080.0303.632***
 SeniorityJob performance0.0190.0121.484
 Number of employees in teamJob performance0.0260.0171.527
H1c(+)ICT demandsPresenteeism0.4590.1303.526***
 GenderPresenteeism0.6310.2063.063**
 SeniorityPresenteeism0.2900.0873.344***
 Number of employees in teamPresenteeism−0.0330.121−0.273
H2(+)ICT demandsDigital well-being−0.0800.040−2.000*
 EducationDigital well-being0.1620.0572.856**
 AgeDigital well-being0.0450.0281.626
H2a (+)Digital well-beingWell-being0.2290.0663.473***
Standardised effects from ICT demands to well-being via digital well-being
 Total effect  0.004  
 Indirect effect of digital well-being  −0.019  
H2b (+)Digital well-beingJob performance0.1220.0244.986***
Standardised effects from ICT demands to job performance via digital well-being
 Total effect  −0.050  
 Indirect effect of digital well-being  −0.027  
H2c (+)Digital well-beingPresenteeism−0.5420.170−3.187***
Standardised effects from ICT demands to presenteeism via digital well-being
 Total effect  0.385  
 Indirect effect of digital well-being  0.033  

Note(s): In parentheses: (+) supported hypothesis; (−) unsupported hypothesis; C.R. – Critical ratio

*p < 0.05; **p < 0.01; ***p < 0.001

Source(s): Authors’ own work

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