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

Table 6

Hypotheses results.

Hypothesis	Path	Beta	-statistics	Results
H1	Innovativeness ➔ intention to adopt	0.007	0.169	Not supported
H2	Innovativeness ➔ compatibility	0.646	25.418	Supported
H3	Innovativeness ➔ performance expectancy	0.019	0.520	Not supported
H4	Innovativeness ➔ effort expectancy	0.111	2.873	Supported
H5	Compatibility ➔ intention to adopt	0.067	2.129	Supported
H6	Compatibility ➔ performance expectancy	0.432	10.502	Supported
H7	Compatibility ➔ effort expectancy	0.435	11.247	Supported
H8	Effort expectancy ➔ performance expectancy	0.357	9.697	Supported
H9	Performance expectancy ➔ intention to adopt	0.099	2.285	Supported
H10	Effort expectancy ➔ intention to adopt	0.067	1.604	Not supported
H11	Price value ➔ intention to adopt	-0.023	0.524	Not supported
H12	Facilitating conditions ➔ intention to adopt	0.131	3.109	Supported
H13	Information seeking motive ➔ intention to adopt	0.097	2.862	Supported
H14	Firm generated content ➔ intention to adopt	-0.034	0.950	Not supported
H15	Perceived privacy risk ➔ intention to adopt	-0.001	0.0032	Not supported
H16	Perceived security ➔ intention to adopt	0.023	0.726	Not supported
H17	Initial Trust in Doctor ➔ intention to adopt	0.094	2.039	Supported
H18	Initial trust in mHealth platform ➔ intention to adopt	0.373	6.856	Supported
H19	Intention to adopt ➔ intention to recommend	0.695	26.083	Supported

; ; .