Table 2

Construct reliability and convergent validity

ConstructsItemsLoadingsCACRAVE
AutonomyAUTO_10.8160.8160.8210.646
AUTO_20.773   
AUTO_30.857   
AUTO_40.765   
BelongingnessBLNG_10.8900.8850.8870.744
BLNG_20.858   
BLNG_30.822   
BLNG_40.879   
CompetenceCOMP_10.8730.8180.8420.651
COMP_20.893   
COMP_30.736   
COMP_40.736   
Intrinsic MotivationIM_10.9140.9130.9180.851
IM_20.918   
IM_30.935   
InvasionINV_10.8570.8430.8540.683
INV_20.716   
INV_30.858   
INV_40.864   
LinkedIn ExhaustionLEX_10.9350.9150.9170.854
LEX_20.927   
LEX_30.911   
Perceived Ease of UsePEOU_10.8160.9010.9210.772
PEOU_20.897   
PEOU_30.922   
PEOU_40.875   
Perceived UsefulnessPU_10.7330.8740.8830.614
PU_20.792   
PU_30.832   
PU_40.765   
PU_50.785   
PU_60.789   
Privacy ConcernsPCON_10.9270.9450.9450.859
PCON_20.912   
PCON_30.932   
PCON_40.936   
Privacy RisksRISK_10.9110.9000.9070.771
RISK_20.915   
RISK_30.789   
RISK_40.893   
Social OverloadSOL_10.9160.9100.9150.737
SOL_20.886   
SOL_30.819   
SOL_40.883   
SOL_50.781   

Note(s): N = 221; CA=Cronbach alpha; CR = composite reliability; AVE = average variance extractedSource(s): Authors’ own work

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