User experience in social commerce: in friends we trust

This article refers to:

User experience in social commerce: in friends we trust

Tables originally published in Behaviour and Information Technology, Volume 32, Number 1 (2013) should be:

Table 1 Characteristics of the respondents (total=327).

	Number	Percentage (%)
Age
Under 20	34	10.4
21–30	149	45.6
31–40	95	19.9
41–50	38	11.6
Over 51	11	3.4
Education
High school or below	207	63.3
College	74	22.6
Graduate school or above	46	14.1
Gender
Female	159	48.6
Male	168	51.4

Table 2 Fit indices of the measurement model and the structural model.

	Measurement	Structural	Recommended value (Bagozzi and Yi 1988,
Fit statistics	model	model	Bentler 1988, Joreskog and Sorbom 1996)
χ^2/df	152.00, df=203	142.27, df=213	–
Normed χ^2	1.42	2.31	<0.05
Comparative Fit Index (CFI)	1.81	1.31	>0.9
Adjusted Goodness of Fit Index (AGFI)	0.99	0.93	>0.9
Root mean square error approximation (RMSEA)	0.143	0.135	>0.06
Standardised RMR	0.000	0.014	≤0.05
TLI (Tucker-Lewis Index)	0.91	0.89	Approaches 1

Table 3 Adjusted t-statistics and standardised path coefficients.

Hypothesis	Theories	Path coefficient	t-Value	Support
H1: Attitude → intention	TPB	0.31*	2.247	Yes
H2: Intention → behaviour	TPB	0.23*	3.462	Yes
H3: PU → intention	TAM	0.45**	2.512	Yes
H4: PU → attitude	TAM	0.41**	1.342	Yes
H5: PE → intention	Modified TAM	0.30*	1.235	Yes
H6: PE → attitude	Modified TAM	0.51**	3.242	Yes
H7: SN → intention	TPB	0.66***	2.432	Yes
H8: PT → behaviour	Modified TPB	0.59***	2.456	Yes
H9: PSS → behaviour	Modified TPB	0.52***	1.324	Yes

*p<0.05.

**p<0.01.

***p<0.001.

Table 4 The mediating effects of subjective norm.

Model	Unstandardised regression coefficient (B)	t-Statistics	p-Value
SN=β0+β1*intention	2.59	2.32	0.000
Behaviour=β0+β1*SN	0.00	3.24	0.000
Behaviour=β0+β1*intention	0.59	0.34	0.001
Behaviour=β0+β1*intention+β2*SN	0.3	2.12	0.27
+β1*SN	0.24	3.43	0.001

The author would like to apologies for this errors in these tables, which were not noticed while submitting the final version of the manuscript.