Table 6 Results of structural model.

From: How to improve older adults’ trust and intentions to use virtual health agents: an extended technology acceptance model

Hypothesis

Path

Unstd.

S.E.

t value

p value

Std.

Hypothesis Testing

H1a

PEOU → PU

0.958

0.204

4.700

***

0.914

Supported

H1b

PEOU → TRU

0.878

0.209

4.203

***

0.816

Supported

H2a

PU → ITU

0.599

0.152

3.939

***

0.558

Supported

H2b

PU → TRU

−0.354

0.256

−1.381

0.167

−0.345

Not supported

H3

TRU → ITU

0.597

0.168

3.555

***

0.571

Supported

H4a

MP → TRU

0.723

0.164

4.404

***

0.620

Supported

H4b

MP → ITU

−0.198

0.132

−1.500

0.134

−0.162

Not supported

H4c

MP → PU

0.493

0.097

5.092

***

0.435

Supported

H5a

PMN → MP

0.193

0.126

1.537

0.124

0.184

Not supported

H5b

PMN → PU

−0.362

0.203

−1.784

0.074

−0.303

Not supported

H5c

PMN → PEOU

0.795

0.140

5.668

***

0.697

Supported

H6a

SN → MP

0.370

0.091

4.058

***

0.482

Supported

H6b

SN → PU

−0.015

0.082

−0.183

0.855

−0.017

Not supported

H6c

SN → PEOU

0.183

0.083

2.214

*

0.220

Supported

  1. 1. PMN perceived medical narrativity, MP medical presence, ITU intention to use, SN subjective norm, PEOU perceived ease of use, PU perceived usefulness, TRU trust.
  2. 2. S.E. standard error, Unstd. unstandardized coefficient, Std. standardized coefficient.
  3. 3. *p < 0.05, ***p < 0.001.
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