Cross-channel information search and patterns of consumer electronics purchasing

Figures & data

Table 1. Distribution of responses regarding the way of buying electronics.

	Radio and television equipment		IT equipment		Mobile phones
	N	%	N	%	N	%
SIBR	307	41.4	332	44.8	255	34.4
SIBI	166	22.4	180	24.3	218	29.4
SRBI	84	11.3	62	8.4	47	6.3
SRBR	105	14.2	69	9.3	85	11.5
AW	29	3.9	59	8.0	99	13.4
No_Act	50	6.7	39	5.3	37	5.0

Table 2. Analysis of the relationship between the gender of the respondents and the way of purchasing particular types of equipment (Chi-square test).

	Female		Male
	N	%	N	%	Test value	Df	Critical significance level	V-Cramer coefficient
Radio and television equipment
SIBR	189a	48.8%	118b	38.8%	13.083^a	4	0.011	0.138
SIBI	76a	19.6%	90b	29.6%
SRBI	44a	11.4%	40a	13.2%
SRBR	64a	16.5%	41a	13.5%
AW	14a	3.6%	15a	4.9%
IT equipment
SIBR	211a	53.7%	121b	39.2%	30.080^a	4	0.000	0.207
SIBI	70a	17.8%	110b	35.6%
SRBI	37a	9.4%	25a	8.1%
SRBR	42a	10.7%	27a	8.7%
AW	33a	8.4%	26a	8.4%
Mobile phones
SIBR	177a	43.9%	78b	25.9%	31.706^a	4	0.000	0.212
SIBI	96a	23.8%	122b	40.5%
SRBI	24a	6.0%	23a	7.6%
SRBR	49a	12.2%	36a	12.0%
AW	57a	14.1%	42a	14.0%

Each letter in the subscript represents a subset of the category of gender. The proportions of which column do not differ significantly from each other at the level of 0.05.

Table 3. Analysis of the relationship between technical skills and the way of purchasing particular types of equipment (Kruskal-Wallis test).

	N	Average rank	Test value	Df	Critical significance level
Radio and television equipment
SIBR	307	357.12	17.137	4	0.002
SIBI	166	361.46
SRBI	84	368.09
SRBR	105	277.67
AW	29	323.19
IT equipment
SIBR	332	346.46	19.589	4	0.001
SIBI	180	389.58
SRBI	62	329.43
SRBR	69	368.14
AW	59	267.40
Mobile phones
SIBR	255	355.18	9.945	4	0.041
SIBI	218	377.14
SRBI	47	355.52
SRBR	85	304.42
AW	99	331.19

Table 4. Analysis of the relationship between technical skills and the likelihood (risk) of filing a warranty claim regarding particular types of equipment (Kruskal-Wallis test).

	N	Average rank	Test value	Df	Critical significance level
Radio and television equipment
Fears do not occur	369	399.87	14.628	2	0.001
No opinion	127	340.09
There are concerns	245	343.54
IT equipment
Fears do not occur	375	398.11	13.968	2	0.001
No opinion	140	332.13
There are concerns	226	350.10
Mobile phones
Fears do not occur	382	403.55	20.097	2	0.000
No opinion	124	330.03
There are concerns	235	339.71

Table 5. Regression analysis between the likelihood (risk) of filing a warranty claim about radio and television equipment and the way they are purchased.

Model	R	R square	Adjusted R square	Std. error of the estimate
	.408^a	0.167	0.164	0.43234

Table

Anova^b
Model	Sum of squares	df	Mean square	F	Sig.
Regression	21.586	2	10.793	57.741	.000^a
Residual	107.853	577	0.187
Total	129.440	579

Table

Coefficients^b
	Unstandarized coefficients		Standarized coefficients
Model	B	Std. error	Beta	t	Sig.
(Constant)	0.264	0.046		5.703	0.000
RTV_comp_no	0.249	0.053	0.263	4.731	0.000
RTV_comp_yes	−0.175	0.056	−0.174	−3.136	0.002

^a Predictors: (constant), RTV_comp_yes, RTV_comp_no.

^b Dependent variable: RTV_SIBR/SIBI.

Table 6. Regression analysis between the likelihood (risk) of filing a warranty claim about IT equipment and the way they are purchased.

Model	R	R square	Adjusted R square	Std. error of the estimate
	.403^a	0.162	0.160	0.43228

Table

Anova^b
Model	Sum of squares	df	Mean square	F	Sig.
Regression	22.759	2	11.380	60.898	.000^a
Residual	117.352	628	0.187
Total	140.111	630

Table

Coefficients^b
	Unstandarized coefficients		Standarized coefficients
Model	B	Std. error	Beta	t	Sig.
(Constant)	0.215	0.045		4.798	0.000
IT_comp_no	0.285	0.050	0.301	5.647	0.000
IT_comp_yes	−0.131	0.055	−0.127	−2.392	0.017

^a Predictors: (constant), IT_comp_yes, IT_comp_no.

^b Dependent variable: IT_SIBR/SIBI.

Table 7. Regression analysis between the likelihood (risk) of filing a warranty claim about mobile phones and the way they are purchased.

Model	R	R square	Adjusted R square	Std. error of the estimate
	.435^a	0.189	0.187	0.44789

Table

Anova^b
Model	Sum of squares	df	Mean square	F	Sig.
Regression	27.750	2	13.875	69.165	.000^a
Residual	118.761	592	0.201
Total	146.511	594

Table

Coefficients^b
	Unstandarized coefficients		Standarized coefficients
Model	B	Std. Error	Beta	t	Sig.
(Constant)	0.324	0.044		7.295	0.000
TEL_comp_no	0.295	0.051	0.294	5.826	0.000
TEL_comp_yes	−0.201	0.057	−0.178	−3.519	0.000

^a Predictors: (constant), TEL_comp_yes, TEL_comp_no.

^b Dependent variable: TEL_SIBR/SIBI.