Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers

Table 10

Fornell-Larcker criterion: matrix of correlation constructs and the square root of AVE (in italics).

	C	EE	FC	FGC	ISM	ITD	ITE	I	IA	IR	PPR	PS	PE	PV
C	0.830
EE	0.507	0.859
FC	0.346	0.637	0.889
FGC	0.550	0.539	0.349	0.887
ISM	0.497	0.400	0.352	0.478	0.900
ITD	0.456	0.449	0.406	0.485	0.431	0.892
ITM	0.504	0.539	0.507	0.542	0.476	0.799	0.907
I	0.646	0.392	0.238	0.468	0.475	0.338	0.374	0.859
IA	0.489	0.514	0.493	0.442	0.461	0.591	0.677	0.363	0.896
IR	0.553	0.506	0.426	0.516	0.518	0.589	0.672	0.483	0.695	0.910
PPR	0.120	0.105	0.085	0.181	0.219	0.219	0.115	0.195	0.116	0.116	0.890
PS	0.434	0.357	0.308	0.375	0.263	0.263	0.437	0.309	0.393	0.409	0.070	0.864
PE	0.625	0.583	0.440	0.546	0.463	0.464	0.513	0.438	0.536	0.577	0.139	0.379	0.847
PV	0.501	0.506	0.514	0.533	0.327	0.327	0.524	0.341	0.479	0.533	0.094	0.458	0.518	0.913

C: compatibility; EE: effort expectancy; FC: facilitating conditions; FGC: firm-generated content; ISM: information-seeking motive; ITD: initial trust in doctor; ITM: initial trust in mHealth; I: innovativeness; IA: intention to adopt; IR: intention to recommend; PPR: perceived privacy risks; PS: perceived security; PE: performance expectancy; PV: price value.